CN107247792A - Match method, device and the computer equipment of functional department - Google Patents
Match method, device and the computer equipment of functional department Download PDFInfo
- Publication number
- CN107247792A CN107247792A CN201710458474.4A CN201710458474A CN107247792A CN 107247792 A CN107247792 A CN 107247792A CN 201710458474 A CN201710458474 A CN 201710458474A CN 107247792 A CN107247792 A CN 107247792A
- Authority
- CN
- China
- Prior art keywords
- case
- place name
- reporting
- security authorities
- place
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 85
- 230000008569 process Effects 0.000 claims abstract description 24
- 238000013507 mapping Methods 0.000 claims abstract description 15
- 238000004422 calculation algorithm Methods 0.000 claims description 32
- 230000011218 segmentation Effects 0.000 claims description 22
- 238000012549 training Methods 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 11
- 238000006243 chemical reaction Methods 0.000 claims description 8
- 238000007637 random forest analysis Methods 0.000 claims description 6
- 238000012706 support-vector machine Methods 0.000 claims description 6
- 238000007635 classification algorithm Methods 0.000 claims description 5
- 230000008878 coupling Effects 0.000 claims description 4
- 238000010168 coupling process Methods 0.000 claims description 4
- 238000005859 coupling reaction Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims 1
- 238000010276 construction Methods 0.000 abstract description 6
- 150000001875 compounds Chemical class 0.000 description 5
- 235000001553 Betula platyphylla Nutrition 0.000 description 4
- 241001313086 Betula platyphylla Species 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000002708 enhancing effect Effects 0.000 description 2
- 230000029058 respiratory gaseous exchange Effects 0.000 description 2
- 238000011524 similarity measure Methods 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 230000026676 system process Effects 0.000 description 2
- 206010039203 Road traffic accident Diseases 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Computational Linguistics (AREA)
- Probability & Statistics with Applications (AREA)
- Health & Medical Sciences (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Educational Administration (AREA)
- General Business, Economics & Management (AREA)
- Remote Sensing (AREA)
- Development Economics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Machine Translation (AREA)
Abstract
The invention discloses a kind of method, device and computer equipment for matching functional department, this method includes：Acquisition is reported a case to the security authorities text message, obtains the corresponding information of place names of text message of reporting a case to the security authorities；According to the default Arithmetic of Semantic Similarity place name that search matches with information of place names in default geographical name data bank；It is clipped in default mapping database according to the place name matched and the class of reporting a case to the security authorities pre-entered and searches for corresponding functional department.Whole process of the present invention automatically determines information of place names, and Auto-matching place name searches for functional department automatically, without manually participating in, substantial amounts of cost of labor is saved, citizen can more be rapidly obtained the feedback for content of reporting a case to the security authorities, municipal services efficiency is improved, is conducive to urban construction.
Description
Technical field
The present invention relates to communication field, more particularly to a kind of method, device and computer equipment for matching functional department.
Background technology
Existing citizen report a case to the security authorities to municipal sector, to obtain during the corresponding information of the functional department that wants to know, it is necessary to people
Work connects civic Inbound Calls, and manual analysis is reported a case to the security authorities content, is distributed to the related functional department of respective regions.Used for example, working as
Problem is toppled in family everywhere to municipal sector's reflection rubbish, then needs manually to be analyzed the problem, find corresponding intelligence
Department.Whole process whole process is required for artificial participation, and cost of labor is higher, and municipal services are less efficient, is unfavorable for municipal administration and builds
If.
The content of the invention
The present invention provides a kind of method, device and computer equipment for matching functional department, to solve prior art
Following problem：During existing municipal services system work, whole process is required for artificial participation, and cost of labor is higher, and municipal services are imitated
Rate is relatively low, is unfavorable for urban construction.
In order to solve the above technical problems, on the one hand, the present invention provides a kind of method for matching functional department, its feature exists
In, including：Acquisition is reported a case to the security authorities text message, obtains the corresponding information of place names of text message of reporting a case to the security authorities；It is similar according to default semanteme
The degree algorithm place name that search matches with the information of place names in default geographical name data bank；
It is clipped in default mapping database according to the place name matched and the class of reporting a case to the security authorities pre-entered and searches for corresponding function
Department.
Optionally, the basis presets Arithmetic of Semantic Similarity search and information of place names in default geographical name data bank
The place name matched, including：The information of place names and the semanteme of each standard place name in the default geographical name data bank are calculated respectively
Similarity, will be greater than the corresponding study plot name of the semantic similarity of default similarity threshold and maximum as with the information of place names
The place name matched.
Optionally, the place name that the basis is matched is clipped in default mapping database with the class of reporting a case to the security authorities pre-entered and searched for
Before corresponding functional department, in addition to：Classification algorithm training is used to default classification training sample set of reporting a case to the security authorities, reported a case to the security authorities
Category classifier, wherein, the training sample set includes the sample of multiple classifications of reporting a case to the security authorities；Reported a case to the security authorities described in obtaining in text message
Classification of reporting a case to the security authorities relevant textual information；By the category classifier of being reported a case to the security authorities described in the input of classification relevant textual information of reporting a case to the security authorities, institute is obtained
State the classification of reporting a case to the security authorities pre-entered.
Optionally, the sorting algorithm includes following one or more：Naive Bayesian NB sorting algorithms, SVMs
The closest KNN sorting algorithms of svm classifier algorithm, K and random forest sorting algorithm.
Optionally, the text message of reporting a case to the security authorities includes：Corresponding text after the speech data conversion of Inbound Calls when reporting a case to the security authorities
Information, or, the text message sent when reporting a case to the security authorities.
Optionally, text message of reporting a case to the security authorities is obtained, the corresponding information of place names of text message of reporting a case to the security authorities is obtained, including：According to
Predetermined segmenting method carries out word segmentation processing to the text message of reporting a case to the security authorities, and obtains word segmentation result；Carry out ground to the word segmentation result
Nominal mark, obtains place name word set；
Entity recognition is named to the place name word set, place name entity is obtained；By the corresponding place name of the place name entity
Word as the place name entity the information of place names.
Optionally, the predetermined segmenting method at least includes one below：The two-way maximum matching method of dictionary, HMM methods and
CRF methods.
Optionally, searched for and the information of place names phase in default geographical name data bank according to default Arithmetic of Semantic Similarity
The place name matched somebody with somebody, including：S11, obtains the ground noun of the lowest class in the information of place names；In S12, the default geographical name data bank
Including standard place name, searched for and got in default geographical name data bank by default Arithmetic of Semantic Similarity according to described ground noun
The standard place name that matches of the information of place names, wherein, the entitled study plot noun with the lowest class of the study plot
The place name of name.
Optionally, also include after S12：S13, in the case where not searching the place name matched, is obtained describedly
The ground noun of a upper grade for noun, and S12 processes are performed according to the described ground noun got, match until searching
Study plot name untill.
Optionally, being pressed according to described ground noun for S12 presets Arithmetic of Semantic Similarity search in default geographical name data bank
The standard place name matched with the information of place names that gets, including：Described ground noun and the default place name are calculated respectively
The semantic similarity of each standard place name in database, will be greater than default similarity threshold and the corresponding mark of semantic similarity of maximum
Quasi- place name is used as the place name matched with the information of place names.
Optionally, S11 includes：The ground noun of the information of place names is carried out according to the text message input sequence of reporting a case to the security authorities
Arrangement, obtains the place name word list；If described ground noun is English, first ground noun in the place name word list is obtained
It is used as the ground noun of the lowest class；If described ground noun is Chinese, the ground of last in place name word list noun is obtained
It is used as the ground noun of the lowest class；
The ground noun of the upper grade for obtaining described ground noun, including：If described ground noun is English, obtain
Next ground noun of current position noun in the place name word list；If described ground noun is Chinese, described ground noun is obtained
The upper ground noun of current position noun in list.
Optionally, to be clipped to search in default mapping database according to the place name matched and the class of reporting a case to the security authorities pre-entered corresponding
Functional department after, in addition to next step or a few steps：The phone of the functional department is fed back into the text envelope of reporting a case to the security authorities
Cease corresponding user terminal；The functional department is called for the corresponding user terminal of the text message of reporting a case to the security authorities；To be reported a case to the security authorities information
It is sent to the terminal of the functional department.
On the other hand, the present invention also provides a kind of device for matching functional department, including：Processing module, for obtaining report
Case text message, obtains the corresponding information of place names of text message of reporting a case to the security authorities；
Matching module, for search to be believed with the place name in default geographical name data bank according to default Arithmetic of Semantic Similarity
The place name of manner of breathing matching；Search module, for being clipped to default mapping number according to the place name matched and the class of reporting a case to the security authorities pre-entered
According to searching for corresponding functional department in storehouse.
Optionally, the matching module, specifically for：The information of place names and the default geographical name data bank are calculated respectively
In each standard place name semantic similarity, will be greater than the corresponding standard place name of semantic similarity of default similarity threshold and maximum
It is used as the place name matched with the information of place names.
Optionally, in addition to：Training module, for being instructed to default classification training sample set of reporting a case to the security authorities using sorting algorithm
Practice, obtain category classifier of reporting a case to the security authorities, wherein, the training sample set includes the sample of multiple classifications of reporting a case to the security authorities；Reported a case to the security authorities described in obtaining
Classification relevant textual information of reporting a case to the security authorities in text message；By the classification point of being reported a case to the security authorities described in the input of classification relevant textual information of reporting a case to the security authorities
Class device, obtains the classification of reporting a case to the security authorities pre-entered.
Optionally, the sorting algorithm includes following one or more：Naive Bayesian NB sorting algorithms, SVMs
The closest KNN sorting algorithms of svm classifier algorithm, K and random forest sorting algorithm.
Optionally, the text message of reporting a case to the security authorities includes：Corresponding text after the speech data conversion of Inbound Calls when reporting a case to the security authorities
Information, or, the text message sent when reporting a case to the security authorities.
Optionally, the processing module, including：Participle unit, for according to predetermined segmenting method to the text of reporting a case to the security authorities
Information carries out word segmentation processing, obtains word segmentation result；Part-of-speech tagging unit, for carrying out nominal mark to the word segmentation result
Note, obtains place name word set；Entity recognition unit, for being named Entity recognition to the place name word set, obtains place name entity；
Using the place name entity corresponding ground noun as the place name entity the information of place names.
Optionally, the predetermined segmenting method at least includes one below：The two-way maximum matching method of dictionary, HMM methods and
CRF methods.
Optionally, the matching module, including：The lowest class place name acquiring unit, for obtaining in the information of place names
The ground noun of the lowest class；Standard place name acquiring unit, includes standard place name, according to institute for the default geographical name data bank
State ground noun and search for the information of place names phase with getting in default geographical name data bank by default Arithmetic of Semantic Similarity
The standard place name matched somebody with somebody, wherein, the place name that the entitled study plot noun with the lowest class of the study plot is named.
Optionally, the matching module, specifically also includes upper grade place name acquiring unit, for being obtained in standard place name
Performed after the standard place name that the information of place names that unit is got matches：The place name that matches is not being searched
In the case of, the ground noun of a upper grade for described ground noun is obtained, and the described ground noun got is inputted into standard place name
Untill acquiring unit, the study plot name matched until searching.
Optionally, when performing standard place name acquiring unit, default Arithmetic of Semantic Similarity is pressed pre- according to described ground noun
If the standard place name that the information of place names searched for and got in geographical name data bank matches, including：Calculate respectively describedly
The semantic similarity of each standard place name in noun and the default geographical name data bank, will be greater than default similarity threshold and maximum
The corresponding study plot name of semantic similarity is used as the place name matched with the information of place names.
Optionally, the lowest class place name acquiring unit, including：Order arrangement subelement, for according to the text of reporting a case to the security authorities
Information input sequence is arranged the ground noun of the information of place names, obtains the place name word list；First ground noun identification
Unit, if being English for described ground noun, obtains in the place name word list first ground noun as the lowest class
Ground noun；If described ground noun is Chinese, the ground of last in place name word list noun is obtained as the lowest class
Ground noun；
The upper grade place name acquiring unit, including：Hierarchically noun recognizes subelement to language, if for the place name
Word is English, then obtains next ground noun of current position noun in the place name word list；If described ground noun is Chinese,
Obtain the upper ground noun of current position noun in the place name word list；Coupling subelement is circulated, for by the institute got
Untill stating ground noun input standard place name acquiring unit, the study plot name matched until searching.
Optionally, in addition to：Performing module, for the phone of the functional department to be fed back into the text message of reporting a case to the security authorities
Corresponding user terminal, is that the user terminal calls the functional department, and/or, the information that will report a case to the security authorities is sent to the function
The terminal of department.
On the other hand, the present invention also provides a kind of computer-readable storage medium, and be stored with computer program, the computer journey
The step of a kind of method of above-mentioned matching functional department is realized when sequence is executed by processor.
On the other hand, the present invention also provides a kind of computer equipment, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, above-mentioned one kind is realized described in the computing device during computer program
The step of matching the method for functional department.
The present invention has the beneficial effect that：
The present invention obtains the text message of reporting a case to the security authorities of municipal services system, is believed with the corresponding place name of the text message that obtains reporting a case to the security authorities
Breath, according to the default Arithmetic of Semantic Similarity place name that search matches with information of place names in default geographical name data bank, and is combined
What is pre-entered reports a case to the security authorities classification to search for the corresponding functional department of text message of reporting a case to the security authorities, and whole process automatically determines information of place names,
Auto-matching place name, searches for functional department automatically, without artificial participation, substantial amounts of cost of labor is saved, especially for city
Political affairs are serviced, and citizen can more be rapidly obtained the feedback for content of reporting a case to the security authorities, improve municipal services efficiency, be conducive to municipal administration to build
If solving the following problem of prior art：During the work of existing service system, whole process is required for artificial participation, cost of labor compared with
Height, especially for municipal services, municipal services are less efficient, are unfavorable for urban construction
Brief description of the drawings
Fig. 1 is the flow chart of the method for matching functional department in first embodiment of the invention；
Fig. 2 is the structural representation of the device of matching functional department in second embodiment of the invention；
Fig. 3 is the flow chart that third embodiment of the invention Computer equipment matches functional department.
Embodiment
In order to solve the following problem of prior art：During existing municipal services system work, whole process is required for artificial participation,
Cost of labor is higher, and municipal services are less efficient, is unfavorable for urban construction；The invention provides a kind of matching functional department
Method, device and computer equipment, below in conjunction with accompanying drawing and embodiment, the present invention will be described in further detail.Should
Understand, the specific embodiments described herein are merely illustrative of the present invention, do not limit the present invention.
First embodiment of the invention provides a kind of method for matching functional department, and the flow of this method is as shown in figure 1, bag
Include step S102 to S106：
S102, obtains text message of reporting a case to the security authorities, obtains the corresponding information of place names of text message of reporting a case to the security authorities；
S104, according to the default Arithmetic of Semantic Similarity ground that search matches with information of place names in default geographical name data bank
Name；
S106, is clipped in default mapping database according to the place name matched and the class of reporting a case to the security authorities pre-entered and searches for corresponding
Functional department.
The text message of reporting a case to the security authorities of acquisition of the embodiment of the present invention can be the text message of reporting a case to the security authorities of municipal services system, to obtain
The corresponding information of place names of text message of reporting a case to the security authorities, is searched for and place name according to default Arithmetic of Semantic Similarity in default geographical name data bank
The place name of information match, and report a case to the security authorities classification to search for the corresponding functional department of text message of reporting a case to the security authorities with reference to what is pre-entered, it is whole
Individual process automatically determines information of place names, and Auto-matching place name searches for functional department automatically, without artificial participation, saves a large amount of
Cost of labor, citizen can more be rapidly obtained the feedback for content of reporting a case to the security authorities, improve efficiency of service, be conducive to municipal administration to build
If solving the following problem of prior art：During the work of existing service system, whole process is required for artificial participation, cost of labor compared with
Height, especially for municipal services, municipal services are less efficient, are unfavorable for urban construction.
During realization, searched for and information of place names in default geographical name data bank according to default Arithmetic of Semantic Similarity
During the place name matched, information of place names and the semantic similarity of each standard place name in default geographical name data bank can be calculated respectively,
The corresponding study plot name of the semantic similarity of default similarity threshold and maximum be will be greater than as the ground matched with information of place names
Name.Wherein, the entitled study plot noun with the lowest class of study plot is named place name or be complete place name, when study plot is entitled complete
During site preparation name, Similarity Measure can be done with intactly name information and standard place name.
It is clipped in default mapping database according to the place name matched and the class of reporting a case to the security authorities pre-entered and searches for corresponding duty
Before energy department, classification algorithm training can also be used to default classification training sample set of reporting a case to the security authorities, obtain category classification of reporting a case to the security authorities
Device, wherein, training sample set includes the sample of multiple classifications of reporting a case to the security authorities；Obtain the classification related text of reporting a case to the security authorities in text message of reporting a case to the security authorities
Information；The classification that will report a case to the security authorities relevant textual information inputs report a case to the security authorities category classifier, the classification of reporting a case to the security authorities pre-entered.Wherein, divide
Class algorithm includes following one or more：Naive Bayesian NB sorting algorithms, support vector machines sorting algorithm, K are closest
KNN sorting algorithms and random forest sorting algorithm.
Pass through said process, it is possible to be rapidly obtained the classification of reporting a case to the security authorities of input, to carry out the matching of functional department.
Because the user reported a case to the security authorities using service system is different, therefore, mode of reporting a case to the security authorities is also different；Some possibility are exhaled by phone
Cry and report a case to the security authorities, for example, when the event of fighting needs alarm, then possible citizen user can be selected by telephone caller incoming call
Municipal services system；Some possibility are reported a case to the security authorities by sending information, for example, when citizen user wants a certain region rubbish of reaction
Process problem, wonder the problem return where be responsible for when, then because the problem is not in the urgent need to address, accordingly, it is possible to can lead to
Cross and reported a case to the security authorities to modes such as service system transmission short messages.Therefore, the embodiment of the present invention is when text message is reported a case to the security authorities in acquisition, text of reporting a case to the security authorities
Corresponding text message after the speech data conversion of Inbound Calls when information can include reporting a case to the security authorities, or the text sent when reporting a case to the security authorities
This information.So, no matter user is reported a case to the security authorities by which kind of mode, can get corresponding text message of reporting a case to the security authorities, system
Process performance strengthens.
The present embodiment is reported a case to the security authorities text message by obtaining, and then can obtain the corresponding information of place names of text message of reporting a case to the security authorities,
During specific processing, including following process：
Word segmentation processing is carried out to text message of reporting a case to the security authorities according to predetermined segmenting method, word segmentation result is obtained, then to word segmentation result
Place name part-of-speech tagging is carried out, place name word set is obtained, for example, part of speech is exactly place name for ns；In said process, participle is and part of speech
Mark is carried out together, and part-of-speech tagging is in the part of speech mark of each word for being indicated in dictionary for word segmentation to word segmentation result.It is above-mentioned pre-
It can be a variety of to determine segmenting method, for example, the two-way maximum matching method of dictionary, HMM methods or CRF methods etc..
Then, name word set is named Entity recognition over the ground, obtains place name entity, then by place name entity corresponding ground noun
It is used as the information of place names of the place name entity.One or more compound ground nouns are potentially included when realizing, in information of place names, when including
During multiple compound ground nouns, for example, Jiading District in Shanghai City Jinsha jiang River West Road, including three ground nouns, but signified is a place name,
Therefore need to obtain by Entity recognition, the place name entity that Entity recognition is obtained is that noun or multiple ground noun are multiple with including one
The information of place names of conjunction.
Pass through said process, it is possible to citizen user is obtained from the text message of reporting a case to the security authorities got and is reported a case to the security authorities the ground being related to
Name information, reports a case to the security authorities there is provided solid foundation for automation.
According to the default Arithmetic of Semantic Similarity place name that search matches with information of place names in default geographical name data bank
When, because information of place names potentially includes multiple ground noun under normal circumstances, typically using in information of place names and geographical name data bank
Standard place name match, the place name that the entitled study plot noun with the lowest class of study plot herein is named.So, realizing
When, it is necessary to which ground noun determined first to recognize according to the language situation for text message of reporting a case to the security authorities, implement process as follows：
S11, obtains the ground noun of the lowest class in information of place names.
S12, default geographical name data bank includes standard place name, and base area noun presses default Arithmetic of Semantic Similarity default
The standard place name that the information of place names searched for and got in geographical name data bank matches, wherein, study plot is entitled with the lowest class
Study plot noun name place name.
S13, in the case where not searching the place name matched, obtains the ground noun of a upper grade for ground noun, and
Ground noun according to getting performs S12 processes, untill the study plot name matched until searching.
Specifically, S12's calculates ground noun and the semantic similarity of each standard place name in default geographical name data bank respectively, will
The corresponding study plot name of semantic similarity more than default similarity threshold and maximum is used as the place name matched with information of place names.
S11 is specifically included：According to reporting a case to the security authorities, text message input sequence is arranged the ground noun of information of place names, obtains ground
Name word list；If ground noun for English, obtain place name word list in first ground noun as the lowest class ground noun；If
Ground noun is Chinese, then obtains the ground noun of last in place name word list as the ground noun of the lowest class；In S13, obtain
The ground noun of a upper grade for ground noun, including：If ground noun is English, current position noun in place name word list is obtained
Next ground noun；If ground noun is Chinese, the upper ground noun of current position noun in place name word list is obtained.
For example, when information of place names is the small class hour of Zhongguangcun, Haidian District, Beijing City the 3rd, then the information of place names is corresponding multiple
Ground noun is followed successively by " Beijing, Haidian District, the primary school of Zhong Guan-cun the 3rd ", then when being matched, from " primary school of Zhong Guan-cun the 3rd "
This ground noun proceeds by place name matching, if " primary school of Zhong Guan-cun the 3rd " this ground noun is not matched to place name, then
" Haidian District " is used to be matched.
When information of place names is " Baihua Silu, Futian District, Shenzhen City, Guangdong
During Province ", then the corresponding multiple ground noun of the information of place names be followed successively by " Baihua Silu, Futian District,
Shenzhen City, Guangdong Province ", then when being matched, from " this ground noun of Baihua Silu " is opened
Begin to carry out place name matching, if " this ground noun of Baihua Silu " is not matched to place name, reuses " Futian
District " is matched, if " Futian District " are not matched to, and reuse " Shenzhen City " progress
Matching.
Because Chinese and English are stated to place name information table, mode is different, i.e. Chinese custom is descending suitable according to cities and counties of province etc.
Sequence is reported or record information of place names, and English custom is reported or record information of place names according to the ascending order such as province of counties and cities, so,
The present embodiment needs to perform different matching ways for different language of reporting a case to the security authorities, so as to the flexible class for being applicable language of reporting a case to the security authorities
Type, strengthens the performance for system of reporting a case to the security authorities.
After corresponding place name is had been matched to, it is possible to which the class of reporting a case to the security authorities pre-entered with reference to the user that reports a case to the security authorities is clipped to default reflect
Penetrate in database and search for corresponding functional department.For the default mapping database, it stores in each area of this city each
The relevant information of functional department, such as, functional department, seating position, responsibility etc..
It is clipped in default mapping database according to the place name matched and the class of reporting a case to the security authorities pre-entered and searches for corresponding duty
It can also include after department with next step or a few steps：The phone of functional department can be fed back to the corresponding use of text message of reporting a case to the security authorities
Family terminal；Functional department is called for user terminal；Information of reporting a case to the security authorities is sent to the terminal of the functional department.If citizen user
It is to be reported a case to the security authorities by way of incoming call service system, then the phone of correspondence functional department can be carried out into voice directly in phone broadcasts
Report, can also be directly the corresponding functional department of user's switching Inbound Calls band；If user is by being sent to service system
The mode of information is reported a case to the security authorities, then can send the phone of correspondence functional department to user terminal of reporting a case to the security authorities in the way of information.
Second embodiment of the invention provides a kind of device for matching functional department, structural representation such as Fig. 2 institutes of the device
Show, including：
Processing module 10, for obtaining text message of reporting a case to the security authorities, obtains the corresponding information of place names of text message of reporting a case to the security authorities；Match mould
Block 11, is coupled with processing module 10, for being searched for and place name in default geographical name data bank according to default Arithmetic of Semantic Similarity
The place name of information match；Search module 12, is coupled with matching module 11, for according to the place name that matches and pre-entering
Class of reporting a case to the security authorities, which is clipped in default mapping database, searches for corresponding functional department.
The above-mentioned whole process of the embodiment of the present invention automatically determines information of place names, Auto-matching place name, automatic search function portion
Door, without artificial participation, saves substantial amounts of cost of labor, citizen can more be rapidly obtained the feedback for content of reporting a case to the security authorities,
Efficiency of service is improved, is conducive to urban construction, the following problem of prior art is solved：During existing service system work, entirely
Journey is required for artificial participation, and cost of labor is higher, and especially for municipal services, municipal services are less efficient, are unfavorable for municipal administration
Build.
Because the user reported a case to the security authorities using service system is different, therefore, mode of reporting a case to the security authorities is also different；Some possibility are exhaled by phone
Cry and report a case to the security authorities, for example, when the event of fighting needs alarm, then possible citizen user can be selected by telephone caller incoming call
Municipal services system；Some possibility are reported a case to the security authorities by sending information, for example, when citizen user wants a certain region rubbish of reaction
Process problem, wonder the problem return where be responsible for when, then because the problem is not in the urgent need to address, accordingly, it is possible to can lead to
Cross and reported a case to the security authorities to modes such as service system transmission short messages.Therefore, above-mentioned text message of reporting a case to the security authorities can be the language of Inbound Calls when reporting a case to the security authorities
Corresponding text message after sound data conversion, or the text message sent when reporting a case to the security authorities.So, no matter which kind of side user passes through
Formula is reported a case to the security authorities, and can get corresponding text message of reporting a case to the security authorities, the enhancing of system process performance.
Above-mentioned matching module 11, specifically for：Information of place names and each standard place name in default geographical name data bank are calculated respectively
Semantic similarity, will be greater than the corresponding study plot name of the semantic similarity of default similarity threshold and maximum and believe as with place name
The place name of manner of breathing matching.Wherein, the entitled study plot noun with the lowest class of study plot is named place name or be complete place name, when
During the entitled complete place name of study plot, Similarity Measure can be done with intactly name information and standard place name.
Said apparatus can also include the training module coupled with search module 12, for default classification training of reporting a case to the security authorities
Sample set uses classification algorithm training, obtains category classifier of reporting a case to the security authorities, wherein, training sample set includes the sample of multiple classifications of reporting a case to the security authorities
This；Obtain the classification relevant textual information of reporting a case to the security authorities in text message of reporting a case to the security authorities；The classification that will report a case to the security authorities relevant textual information inputs class of reporting a case to the security authorities
Other grader, the classification of reporting a case to the security authorities pre-entered.Wherein, sorting algorithm includes following one or more：Naive Bayesian NB
The closest KNN sorting algorithms of sorting algorithm, support vector machines sorting algorithm, K and random forest sorting algorithm.By above-mentioned
Process, it is possible to be rapidly obtained the classification of reporting a case to the security authorities of input, to carry out the matching of functional department.
Processing module 10 specifically includes participle unit, part-of-speech tagging unit and Entity recognition unit.
Wherein, participle unit, for for carrying out word segmentation processing to text message of reporting a case to the security authorities according to predetermined segmenting method, obtaining
Word segmentation result.For example, part of speech is exactly place name for ns；In said process, participle and part-of-speech tagging are carried out together, part of speech mark
Note is in the part of speech mark of each word indicated in dictionary for word segmentation to word segmentation result.Above-mentioned predetermined segmenting method can be it is a variety of,
For example, the two-way maximum matching method of dictionary, HMM methods or CRF methods etc..
Part-of-speech tagging unit, for carrying out place name part-of-speech tagging to word segmentation result, obtains place name word set；Name word set is entered over the ground
Row name Entity recognition, obtains place name entity.
Entity recognition unit, for using place name entity corresponding ground noun as the place name entity information of place names.
One or more compound ground nouns are potentially included when realizing, in information of place names, when including multiple compound ground nouns,
For example, Jiading District in Shanghai City Jinsha jiang River West Road, including three ground nouns, but it is signified for a place name, it is therefore desirable to pass through entity
Identification is obtained, and the place name entity that Entity recognition is obtained is to include a ground noun or the compound information of place names of multiple ground noun.
Pass through said process, it is possible to citizen user is obtained from the text message of reporting a case to the security authorities got and is reported a case to the security authorities the ground being related to
Name information, reports a case to the security authorities there is provided solid foundation for automation.
In order to simplify the operation of identification ground noun process, matching module 11 can include：
The lowest class place name acquiring unit, the ground noun for obtaining the lowest class in information of place names；
Standard place name acquiring unit, includes standard place name, base area noun presses default language for presetting geographical name data bank
The standard place name that the information of place names that adopted similarity algorithm is searched for and got in default geographical name data bank matches, wherein, mark
The place name that the entitled study plot noun with the lowest class is named accurately.
Upper grade place name acquiring unit, the information of place names for being got in standard place name acquiring unit matches
The standard place name after perform：In the case where not searching the place name matched, a upper grade for ground noun is obtained
Ground noun, and the ground noun got is inputted into standard place name acquiring unit, the study plot matched until searching is entitled
Only.
Wherein, when performing standard place name acquiring unit, the base area noun presses default Arithmetic of Semantic Similarity default
The standard place name that the information of place names searched for and got in geographical name data bank matches, including：Ground noun is calculated respectively with presetting
The semantic similarity of each standard place name in geographical name data bank, will be greater than the semantic similarity correspondence of default similarity threshold and maximum
Study plot name be used as the place name matched with information of place names.
The lowest class place name acquiring unit, including order arrangement subelement and first ground noun identification subelement.
Wherein, order arrangement subelement, for entering the ground noun of information of place names according to text message input sequence of reporting a case to the security authorities
Row arrangement, obtains place name word list；First ground noun identification subelement, if being English for ground noun, obtains place name word list
In first ground noun as the lowest class ground noun；If ground noun is Chinese, last in place name word list is obtained
Ground noun as the lowest class ground noun.
Upper grade place name acquiring unit includes language hierarchically noun identification subelement and circulation coupling subelement.Language
Hierarchically noun recognizes subelement, the ground noun of the upper grade for obtaining ground noun, including：If ground noun is English,
Then obtain next ground noun of current position noun in place name word list；If ground noun is Chinese, obtain in place name word list
The upper ground noun of current position noun.Coupling subelement is circulated, for the described ground noun input standard place name that will be got
Untill acquiring unit, the study plot name matched until searching.
The present embodiment can need to perform different matching ways for different language of reporting a case to the security authorities, so as to which flexible be applicable
Report a case to the security authorities the type of language, enhancing is reported a case to the security authorities the performance of system.
Said apparatus can also include：Performing module, is coupled with search module, for the phone of functional department to be fed back to
The corresponding user terminal of text message of reporting a case to the security authorities, is user terminal calling functional department, and/or, the information that will report a case to the security authorities is sent to described
The terminal of functional department.If citizen user is reported a case to the security authorities by way of incoming call service system, it can be incited somebody to action directly in phone
The phone of correspondence functional department carries out voice broadcast, can also be directly the corresponding functional department of user's switching Inbound Calls band；
, can be in the way of information to user terminal hair of reporting a case to the security authorities if user is reported a case to the security authorities by way of sending information to service system
Send the phone of correspondence functional department.
Third embodiment of the invention additionally provides a kind of computer equipment, including memory, processor and is stored in storage
On device and the computer program that can run on a processor, realize that first is real during computer program described in the computing device
The method for applying a kind of matching functional department of example.When realizing, above computer program can be stored in computer-readable storage medium.
For example, realizing Fig. 3 following process during computing device computer program：
S1, obtains text message of reporting a case to the security authorities.During being somebody's turn to do, problem category or complaint can also be determined according to text message of reporting a case to the security authorities
The information such as content.
S2, participle, part-of-speech tagging, name Entity recognition (NER, Named Entity are carried out to text message of reporting a case to the security authorities
Recognition), information of place names is extracted.
S3, judges in geographical name data bank with the presence or absence of the place name that preset matching degree is reached with information of place names matching degree.Depositing
In case, S4 is performed, S6 is otherwise performed.
Class of reporting a case to the security authorities in S4, base area noun and text message of reporting a case to the security authorities, which is clipped in default mapping database, searches for corresponding duty
Can department.
S5, citizen user is fed back to by the functional department searched.
S6, searches next ground noun in information of place names, returns to S3 in sequence.Wherein, this is sequentially probably place name
The inverted order mode of information sequential system or information of place names.
For example, when citizen's subscriber phone incoming call is reported a case to the security authorities " having traffic accident near the primary school of Zhongguangcun, Haidian District, Beijing City the 3rd "
When, then information of place names is the primary school of Zhongguangcun, Haidian District, Beijing City the 3rd, then the corresponding multiple ground noun of the information of place names is followed successively by
" Beijing, Haidian District, the primary school of Zhong Guan-cun the 3rd ", corresponding classification of reporting a case to the security authorities is exactly traffic, burst accident class, then is searching intelligence
During department, traffic can be matched, then the electricity of traffic near the primary school of Zhong Guan-cun the 3rd can be provided for citizen user
Words, so as to timely process problem.
The artificial the system of the present embodiment can realize the automatic flow that municipal administration is reported a case to the security authorities, and improve municipal services efficiency, reduce people
Work cost.
Alternatively, in the present embodiment, above-mentioned storage medium can include but is not limited to：USB flash disk, read-only storage (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disc or
CD etc. is various can be with the medium of store program codes.Alternatively, in the present embodiment, processor has been deposited according in storage medium
The program code of storage performs the method and step of above-described embodiment record.Alternatively, the specific example in the present embodiment may be referred to
Example described in above-described embodiment and optional embodiment, the present embodiment will not be repeated here.Obviously, the technology of this area
Personnel should be understood that above-mentioned each module of the invention or each step can be realized with general computing device, and they can be with
Concentrate on single computing device, or be distributed on the network that multiple computing devices are constituted, alternatively, they can be used
Computing device executable program code is realized, it is thus possible to be stored in storage device by computing device to hold
OK, and in some cases, can to perform shown or described step different from order herein, or by they point
Each integrated circuit modules is not fabricated to, or the multiple modules or step in them are fabricated to single integrated circuit module
Realize.So, the present invention is not restricted to any specific hardware and software combination.
Although for example purpose, having been disclosed for the preferred embodiments of the present invention, those skilled in the art will recognize
Various improvement, increase and substitution are also possible, and therefore, the scope of the present invention should be not limited to above-described embodiment.
Claims (26)
1. a kind of method for matching functional department, it is characterised in that including：
Acquisition is reported a case to the security authorities text message, obtains the corresponding information of place names of text message of reporting a case to the security authorities；
According to the default Arithmetic of Semantic Similarity place name that search matches with the information of place names in default geographical name data bank；
It is clipped in default mapping database according to the place name matched and the class of reporting a case to the security authorities pre-entered and searches for corresponding functional department.
2. the method as described in claim 1, it is characterised in that the basis presets Arithmetic of Semantic Similarity in default ground concrete number
According to the place name that search matches with the information of place names in storehouse, including：
The information of place names and the semantic similarity of each standard place name in the default geographical name data bank are calculated respectively, will be greater than pre-
If the semantic similarity corresponding study plot name of similarity threshold and maximum is used as the place name matched with the information of place names.
3. the method as described in claim 1, it is characterised in that the place name that the basis is matched and the class of reporting a case to the security authorities pre-entered
It is clipped in default mapping database and searches for before corresponding functional department, in addition to：
Classification algorithm training is used to default classification training sample set of reporting a case to the security authorities, category classifier of reporting a case to the security authorities is obtained, wherein, the instruction
Practicing sample set includes the sample of multiple classifications of reporting a case to the security authorities；
The classification relevant textual information of reporting a case to the security authorities reported a case to the security authorities described in obtaining in text message；
By the category classifier of being reported a case to the security authorities described in the input of classification relevant textual information of reporting a case to the security authorities, the class of reporting a case to the security authorities pre-entered is obtained
Not.
4. method as claimed in claim 3, it is characterised in that
The sorting algorithm includes following one or more：Naive Bayesian NB sorting algorithms, support vector machines classification are calculated
The closest KNN sorting algorithms of method, K and random forest sorting algorithm.
5. the method as described in claim 1, it is characterised in that the text message of reporting a case to the security authorities includes：
Corresponding text message after the speech data conversion of Inbound Calls when reporting a case to the security authorities, or, the text message sent when reporting a case to the security authorities.
6. the method as described in claim 1, it is characterised in that obtain text message of reporting a case to the security authorities, obtains the text message of reporting a case to the security authorities
Corresponding information of place names, including：
Word segmentation processing is carried out to the text message of reporting a case to the security authorities according to predetermined segmenting method, word segmentation result is obtained；
Place name part-of-speech tagging is carried out to the word segmentation result, place name word set is obtained；
Entity recognition is named to the place name word set, place name entity is obtained；
Using the place name entity corresponding ground noun as the place name entity the information of place names.
7. method as claimed in claim 6, it is characterised in that the predetermined segmenting method at least includes one below：Dictionary
Two-way maximum matching method, HMM methods and CRF methods.
8. the method as described in claim 1, it is characterised in that according to default Arithmetic of Semantic Similarity in default geographical name data bank
The place name that middle search matches with the information of place names, including：
S11, obtains the ground noun of the lowest class in the information of place names；
S12, the default geographical name data bank includes standard place name, and pressing default Arithmetic of Semantic Similarity according to described ground noun exists
The standard place name that the information of place names searched for and got in default geographical name data bank matches, wherein, the standard
The place name that the entitled study plot noun with the lowest class in ground is named.
9. method as claimed in claim 8, it is characterised in that also include after S12：
S13, in the case where not searching the place name matched, obtains the ground noun of a upper grade for described ground noun, and
Described ground noun according to getting performs S12 processes, untill the study plot name matched until searching.
10. method as claimed in claim 8, it is characterised in that S12's presses default semantic similarity calculation according to described ground noun
The standard place name that the information of place names that method is searched for and got in default geographical name data bank matches, including：
Described ground noun and the semantic similarity of each standard place name in the default geographical name data bank are calculated respectively, will be greater than presetting
The semantic similarity corresponding study plot name of similarity threshold and maximum is used as the place name matched with the information of place names.
11. method as claimed in claim 8, it is characterised in that S11 includes：
The ground noun of the information of place names is arranged according to the text message input sequence of reporting a case to the security authorities, described ground noun is obtained
List；
If described ground noun is English, first ground noun is obtained in the place name word list as the place name of the lowest class
Word；If described ground noun is Chinese, the ground noun of last in the place name word list is obtained as the place name of the lowest class
Word；
The ground noun of the upper grade for obtaining described ground noun, including：
If described ground noun is English, next ground noun of current position noun in the place name word list is obtained；If described
Ground noun is Chinese, then obtains the upper ground noun of current position noun in the place name word list.
12. the method as any one of claim 1 to 11, it is characterised in that according to the place name matched and defeated in advance
The class of reporting a case to the security authorities entered, which is clipped in default mapping database, searches for after corresponding functional department, in addition to next step or several steps：
The phone of the functional department is fed back into the corresponding user terminal of text message of reporting a case to the security authorities；For the text envelope of reporting a case to the security authorities
Cease corresponding user terminal and call the functional department；Information of reporting a case to the security authorities is sent to the terminal of the functional department.
13. a kind of device for matching functional department, it is characterised in that including：
Processing module, for obtaining text message of reporting a case to the security authorities, obtains the corresponding information of place names of text message of reporting a case to the security authorities；
Matching module, for being searched for and the information of place names phase in default geographical name data bank according to default Arithmetic of Semantic Similarity
The place name of matching；
Search module, for being clipped to search pair in default mapping database according to the place name matched and the class of reporting a case to the security authorities pre-entered
The functional department answered.
14. device as claimed in claim 13, it is characterised in that the matching module, specifically for：
The information of place names and the semantic similarity of each standard place name in the default geographical name data bank are calculated respectively, will be greater than pre-
If the semantic similarity corresponding study plot name of similarity threshold and maximum is used as the place name matched with the information of place names.
15. device as claimed in claim 13, it is characterised in that also include：
Training module, for using classification algorithm training to default classification training sample set of reporting a case to the security authorities, obtains category classification of reporting a case to the security authorities
Device, wherein, the training sample set includes the sample of multiple classifications of reporting a case to the security authorities；The classification of reporting a case to the security authorities reported a case to the security authorities described in obtaining in text message
Relevant textual information；By the category classifier of being reported a case to the security authorities described in the input of classification relevant textual information of reporting a case to the security authorities, obtain described defeated in advance
The classification of reporting a case to the security authorities entered.
16. device as claimed in claim 15, it is characterised in that the sorting algorithm includes following one or more：It is simple
The closest KNN sorting algorithms of Bayes NB sorting algorithms, support vector machines sorting algorithm, K and random forest sorting algorithm.
17. device as claimed in claim 13, it is characterised in that the text message of reporting a case to the security authorities includes：
Corresponding text message after the speech data conversion of Inbound Calls when reporting a case to the security authorities, or, the text message sent when reporting a case to the security authorities.
18. device as claimed in claim 13, it is characterised in that the processing module, including：
Participle unit, for carrying out word segmentation processing to the text message of reporting a case to the security authorities according to predetermined segmenting method, obtains word segmentation result；
Part-of-speech tagging unit, for carrying out place name part-of-speech tagging to the word segmentation result, obtains place name word set；
Entity recognition unit, for being named Entity recognition to the place name word set, obtains place name entity；The place name is real
Body corresponding ground noun as the place name entity the information of place names.
19. device as claimed in claim 18, it is characterised in that the predetermined segmenting method at least includes one below：Word
The two-way maximum matching method of allusion quotation, HMM methods and CRF methods.
20. device as claimed in claim 13, it is characterised in that the matching module, including：
The lowest class place name acquiring unit, the ground noun for obtaining the lowest class in the information of place names；
Standard place name acquiring unit, includes standard place name for the default geographical name data bank, according to described ground noun by pre-
If the standard that the information of place names that Arithmetic of Semantic Similarity is searched for and got in default geographical name data bank matches
Place name, wherein, the place name that the entitled study plot noun with the lowest class of the study plot is named.
21. device as claimed in claim 20, it is characterised in that the matching module, specifically also includes upper grade place name
Acquiring unit, for being held after the standard place name that the information of place names that standard place name acquiring unit is got matches
OK：In the case where not searching the place name matched, the ground noun of a upper grade for described ground noun is obtained, and will obtain
Untill the described ground noun input standard place name acquiring unit arrived, the study plot name matched until searching.
22. device as claimed in claim 20, it is characterised in that when performing standard place name acquiring unit, according to the place name
The mark that the information of place names that word is searched for and got in default geographical name data bank by default Arithmetic of Semantic Similarity matches
Quasi- place name, including：
Described ground noun and the semantic similarity of each standard place name in the default geographical name data bank are calculated respectively, will be greater than presetting
The semantic similarity corresponding study plot name of similarity threshold and maximum is used as the place name matched with the information of place names.
23. device as claimed in claim 20, it is characterised in that the lowest class place name acquiring unit, including：
Order arrangement subelement, for carrying out the ground noun of the information of place names according to the text message input sequence of reporting a case to the security authorities
Arrangement, obtains the place name word list；
First ground noun identification subelement, if being English for described ground noun, obtains first ground in the place name word list
Noun as the lowest class ground noun；If described ground noun is Chinese, the ground of last in the place name word list is obtained
Noun as the lowest class ground noun；
The upper grade place name acquiring unit, including：
Language hierarchically noun identification subelement, if being English for described ground noun, obtain in the place name word list when
Next ground noun of preceding ground noun；If described ground noun is Chinese, current position noun in the place name word list is obtained
Upper ground noun；
Coupling subelement is circulated, for the described ground noun input standard place name acquiring unit that will be got, until searching phase
Untill the study plot name of matching.
24. the device as any one of claim 13 to 23, it is characterised in that also include：
Performing module, for the phone of the functional department to be fed back into the corresponding user terminal of text message of reporting a case to the security authorities, be
The user terminal calls the functional department, and/or, information of reporting a case to the security authorities is sent to the terminal of the functional department.
25. a kind of computer-readable storage medium, be stored with computer program, it is characterised in that the computer program is by processor
The step of a kind of method of matching functional department any one of claim 1 to 12 is realized during execution.
26. a kind of computer equipment, including memory, processor and storage can be run on a memory and on a processor
Computer program, it is characterised in that realize any one of claim 1 to 12 during computer program described in the computing device
A kind of the step of method of described matching functional department.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710458474.4A CN107247792B (en) | 2017-06-16 | 2017-06-16 | Method and device for matching functional departments and computer equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710458474.4A CN107247792B (en) | 2017-06-16 | 2017-06-16 | Method and device for matching functional departments and computer equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107247792A true CN107247792A (en) | 2017-10-13 |
| CN107247792B CN107247792B (en) | 2021-01-15 |
Family
ID=60019250
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710458474.4A Active CN107247792B (en) | 2017-06-16 | 2017-06-16 | Method and device for matching functional departments and computer equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107247792B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108197194A (en) * | 2017-12-27 | 2018-06-22 | 贵州小爱机器人科技有限公司 | A kind of processing method and system of information of reporting a case to the security authorities |
| CN108305050A (en) * | 2018-02-08 | 2018-07-20 | 贵州小爱机器人科技有限公司 | Information of reporting a case to the security authorities and the extracting method of service requirement information, device, equipment and medium |
| CN109241240A (en) * | 2018-08-17 | 2019-01-18 | 国家电网有限公司客户服务中心 | Power failure repairing information automatically forwarding method |
| CN111144121A (en) * | 2019-12-27 | 2020-05-12 | 北大方正集团有限公司 | Geographical name recognition method and device, electronic equipment and readable storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103440311A (en) * | 2013-08-27 | 2013-12-11 | 深圳市华傲数据技术有限公司 | Method and system for identifying geographical name entities |
| CN104281615A (en) * | 2013-07-08 | 2015-01-14 | 中国移动通信集团甘肃有限公司 | Complaint handling method and system |
| CN104408093A (en) * | 2014-11-14 | 2015-03-11 | 中国科学院计算技术研究所 | News event element extracting method and device |
| CN106326458A (en) * | 2016-06-02 | 2017-01-11 | 广西智度信息科技有限公司 | Method for classifying city management cases based on text classification |
-
2017
- 2017-06-16 CN CN201710458474.4A patent/CN107247792B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104281615A (en) * | 2013-07-08 | 2015-01-14 | 中国移动通信集团甘肃有限公司 | Complaint handling method and system |
| CN103440311A (en) * | 2013-08-27 | 2013-12-11 | 深圳市华傲数据技术有限公司 | Method and system for identifying geographical name entities |
| CN104408093A (en) * | 2014-11-14 | 2015-03-11 | 中国科学院计算技术研究所 | News event element extracting method and device |
| CN106326458A (en) * | 2016-06-02 | 2017-01-11 | 广西智度信息科技有限公司 | Method for classifying city management cases based on text classification |
Non-Patent Citations (1)
| Title |
|---|
| 王俊超等: "语义相似性度量技术在地名匹配研究中的应用", 《辽宁工程技术大学学报（自然科学版）》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108197194A (en) * | 2017-12-27 | 2018-06-22 | 贵州小爱机器人科技有限公司 | A kind of processing method and system of information of reporting a case to the security authorities |
| CN108305050A (en) * | 2018-02-08 | 2018-07-20 | 贵州小爱机器人科技有限公司 | Information of reporting a case to the security authorities and the extracting method of service requirement information, device, equipment and medium |
| CN108305050B (en) * | 2018-02-08 | 2023-04-07 | 贵州小爱机器人科技有限公司 | Method, device, equipment and medium for extracting report information and service demand information |
| CN109241240A (en) * | 2018-08-17 | 2019-01-18 | 国家电网有限公司客户服务中心 | Power failure repairing information automatically forwarding method |
| CN111144121A (en) * | 2019-12-27 | 2020-05-12 | 北大方正集团有限公司 | Geographical name recognition method and device, electronic equipment and readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107247792B (en) | 2021-01-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107247792A (en) | Match method, device and the computer equipment of functional department | |
| US10025848B2 (en) | System and method for processing speech files | |
| US8824659B2 (en) | System and method for speech-enabled call routing | |
| CN109145095A (en) | Information of place names matching process, information matching method, device and computer equipment | |
| US6583716B2 (en) | System and method for providing location-relevant services using stored location information | |
| CN102802114B (en) | Method and system for screening seat by using voices | |
| CN101784022A (en) | Method and system for filtering and classifying short messages | |
| CN104375847B (en) | Identify the method and device of type of service | |
| CA2544059A1 (en) | Use of public switched telephone network for capturing electronic signatures in on-line transactions | |
| CN108038165A (en) | A kind of information search method, searcher, terminal device and server apparatus | |
| CN110705926A (en) | Method, device and system for acquiring logistics object distribution information | |
| CN109145050B (en) | Computing device | |
| US20180248929A1 (en) | Method to generate and transmit role-specific audio snippets | |
| CN106603792B (en) | A kind of number searching equipment | |
| CN1543610A (en) | System and method for bookmarking a route | |
| CN116775819B (en) | Tax information consultation management system | |
| CN108572949A (en) | A kind of houseclearing search processing method and device | |
| CN105430153B (en) | Generation, voice prompting method and the device of voice reminder information | |
| CN109684470A (en) | Legal information recommended method and device, storage medium and electronic equipment | |
| CN201130994Y (en) | Words consultation auto-answer system | |
| CN113284497A (en) | Method and device for urging collection of customers and intelligent collection urging system | |
| CN101478584B (en) | Encoded communication method and used terminal | |
| KR102379613B1 (en) | System for providing anti-phishing service using video call | |
| CN112738343B (en) | Voice prompt system and method for material fulfillment | |
| CN113794809A (en) | Service processing method and device and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |