CN109766442A - A kind of couple of user takes down notes the method and system classified - Google Patents
A kind of couple of user takes down notes the method and system classified Download PDFInfo
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Abstract
The present invention provides a kind of couple of users to take down notes the method and system classified, and method includes: the user's notes source-information for obtaining user's notes and user notes；User, which is extracted, from user notes by text semantic analytical technology takes down notes keyword；Keyword is taken down notes according to the user and the user takes down notes source-information and generates user's notes label；It takes down notes label according to the user user notes are marked and are classified.The present invention is based on text semantic analytical technologies, analyze user's notes of user record, take down notes source-information then in conjunction with user and generate user's notes label, classify to user's notes of user record, quickly search convenient for user.
Description
Technical field
The present invention relates to technical field of information processing, espespecially a kind of couple of user takes down notes the method and system classified.
Background technique
With the fast development of internet, the every aspect of daily life is also to become increasingly intelligence to today's society
Energyization, therefore people also more and more habitually complete every thing using intelligent terminal.And with artificial intelligence the relevant technologies
It is increasingly mature, the intelligence degree of each Terminal Type is also higher and higher.
Currently, more and more programs can provide notes function on intelligent terminal for user, user is facilitated to record in time
In addition the idea of oneself is also convenient for rapid memory when looking back again later and plays relevant content, provides convenience for user.
But due to having the program of notes function more and more, the notes that user is recorded are also more and more, therefore user seeks every time
The target notes for looking for oneself to need will spend many time and efforts.
It is all mentioned for example, private tutor's machine currently on the market synchronizes etc. in multiple app programs in master tutorial class, three sections for user
For taking down notes function, support user records some important knowledge points or practical answer method in learning process, in order to
Later period quick review and again reinforcing memory.In addition, private tutor's machine provides a variety of displaying shapes for identical content and knowledge
Formula, such as video, auxiliary, the point reading of religion etc., then notes function also there is multiple entrances accordingly, user is in different app journeys
Sequence, the different pages, note contents recorded in different display forms, it is excessively scattered due to lacking induction-arrangement, it can not
System look back, and user is also difficult rapidly and accurately to find the target notes of oneself needs.
Therefore, for said circumstances, it is badly in need of a kind of couple of user currently on the market and takes down notes the method and system classified.
Summary of the invention
The object of the present invention is to provide a kind of couple of users to take down notes the method and system classified, and realizes and is based on text semantic
Analytical technology analyzes user's notes of user record, takes down notes source-information then in conjunction with user and generates user's notes mark
Label classify to user's notes of user record, consequently facilitating user quickly searches.
Technical solution provided by the invention is as follows:
The present invention provides a kind of couple of user and takes down notes the method classified, comprising:
The user for obtaining user's notes and user notes takes down notes source-information；
User, which is extracted, from user notes by text semantic analytical technology takes down notes keyword；
Keyword is taken down notes according to the user and the user takes down notes source-information and generates user's notes label；
It takes down notes label according to the user user notes are marked and are classified.
Further, described to extract user's notes keyword from user notes by text semantic analytical technology
It specifically includes:
User notes are analyzed to obtain user's note contents information by text semantic analytical technology；
Keyword is taken down notes according to user described in user's note contents information extraction.
Further, it is wrapped before the user's notes source-information for obtaining user's notes and user notes
It includes:
Notes keyword is obtained, keywords database is established according to the notes keyword.
Further, further includes:
Obtain user information；
Notes keyword in the user information and the keywords database is compared, user search word is obtained；
The user search word and the user are taken down notes label to match, obtain corresponding target notes.
Further, described to match the user search word and user notes label, it obtains corresponding
Target is taken down notes
The user search word and the user are taken down notes label to match；
If the user search word and a user take down notes tag match and be consistent, matches the user being consistent and take down notes mark
Signing corresponding user's notes is that the target is taken down notes；
It is consistent if the user search word takes down notes tag match with multiple users, chooses one according to term matching degree
Or it is that the target is taken down notes that multiple users, which take down notes the corresponding user's notes of label, the term matching degree is the user search
Word takes down notes the number that the feature word being consistent is matched in label with the same user.
The present invention also provides a kind of couple of users to take down notes the system classified, comprising:
Module is obtained, the user for obtaining user's notes and user notes takes down notes source-information；
Extraction module is extracted from the user notes that the acquisition module obtains by text semantic analytical technology and is used
Take down notes keyword in family；
What generation module, the user notes keyword extracted according to the extraction module and the acquisition module obtained
The user takes down notes source-information and generates user's notes label；
Categorization module, the user generated according to the generation module take down notes label and user notes are marked
And classify.
Further, the extraction module specifically includes:
Analytical unit is analyzed by the user notes that text semantic analytical technology obtains the acquisition module
Obtain user's note contents information；
Extraction unit is taken down notes according to user described in user's note contents information extraction that the analytical unit obtains and is closed
Keyword.
Further, further includes:
Dictionary establishes module, obtains notes keyword, establishes keywords database according to the notes keyword.
Further, further includes:
Data obtaining module obtains user information；
The user information that the data obtaining module obtains and the dictionary are established module foundation by contrast module
Notes keyword in the keywords database compares, and obtains user search word；
The use that matching module, the user search word that the contrast module is obtained and the generation module generate
Family notes label is matched, and corresponding target notes are obtained.
Further, the matching module specifically includes:
The use that matching unit, the user search word that the contrast module is obtained and the generation module generate
Family notes label is matched；
Processing unit, if the matching unit show that the user search word and a user take down notes tag match and be consistent,
Then matching the user being consistent and taking down notes the corresponding user's notes of label is that the target is taken down notes；
The processing unit, if the matching unit show that the user search word and multiple users take down notes tag match phase
Symbol, then choosing one or more users to take down notes the corresponding user's notes of label according to term matching degree is that the target is taken down notes,
The term matching degree is that the user search word takes down notes that the feature word being consistent is matched in label with the same user
Number.
A kind of couple of user provided through the invention takes down notes the method and system classified, and can bring following at least one
Kind the utility model has the advantages that
1, in the present invention, classified by user's notes to user record, consequently facilitating user quickly searches oneself
The target notes needed.
2, in the present invention, it is based on text semantic analytical technology, user's notes of user record are analyzed, then in conjunction with
User takes down notes source-information and generates user's notes label, takes down notes automatically to the user of user record to take down notes label according to user
Classify.
Detailed description of the invention
Below by clearly understandable mode, preferred embodiment is described with reference to the drawings, a kind of couple of user is taken down notes and is carried out
Above-mentioned characteristic, technical characteristic, advantage and its implementation of the method and system of classification are further described.
It is the flow chart of the one embodiment for the method that a kind of pair of user's notes of the present invention are classified shown in Fig. 1；
It is the flow chart of another embodiment of the method that a kind of pair of user's notes of the present invention are classified shown in Fig. 2；
It is the flow chart of another embodiment of the method that a kind of pair of user's notes of the present invention are classified shown in Fig. 3；
It is the flow chart of another embodiment of the method that a kind of pair of user's notes of the present invention are classified shown in Fig. 4；
It is the flow chart of another embodiment of the method that a kind of pair of user's notes of the present invention are classified shown in Fig. 5；
It is the flow chart of another embodiment of the method that a kind of pair of user's notes of the present invention are classified shown in Fig. 6；
It is the structural schematic diagram of the one embodiment for the system that a kind of pair of user's notes of the present invention are classified shown in Fig. 7；
It is the structural schematic diagram of the one embodiment for the system that a kind of pair of user's notes of the present invention are classified shown in Fig. 8.
Drawing reference numeral explanation:
100 couples of users take down notes the system classified
110 obtain module
120 extraction module, 121 analytical unit, 122 extraction unit
130 generation modules
140 categorization module, 150 dictionary establishes module
160 data obtaining module, 170 contrast module
180 matching module, 181 matching unit, 182 processing unit
Specific embodiment
It, below will control in order to clearly illustrate the embodiment of the present invention or technical solution in the prior art
Figure of description illustrates a specific embodiment of the invention.It should be evident that the accompanying drawings in the following description is only of the invention
Some embodiments for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other attached drawings, and obtain other embodiments.
In order to make simplified form, part related to the present invention is only schematically shown in each figure, their not generations
Its practical structures as product of table.In addition, there is identical structure or function in some figures so that simplified form is easy to understand
Component, only symbolically depict one of those, or only marked one of those.Herein, "one" not only table
Show " only this ", can also indicate the situation of " more than one ".
One embodiment of the present of invention, as shown in Figure 1, a kind of couple of user takes down notes the method classified, comprising:
S100 obtains user's notes and the user of user notes takes down notes source-information.
Specifically, source-information is taken down notes in all user's notes and the corresponding user of user for obtaining user record, it should
User takes down notes the position that source-information is the corresponding user's notes of user record, for example the middle record in which app program.
It is all mentioned for example, private tutor's machine currently on the market synchronizes etc. in multiple app programs in master tutorial class, three sections for user
For taking down notes function, wherein each app program provides a variety of display forms again, for example video, auxiliary, point reading of religion etc., therefore, system
User's notes of user record on private tutor's machine are obtained, while obtaining the user and taking down notes corresponding user record user notes
App program and corresponding display form.
S200 extracts user from user notes by text semantic analytical technology and takes down notes keyword.
Specifically, the semanteme of the user's notes got by the analysis of text semantic analytical technology, to obtain the user
Then the particular content of notes therefrom extracts corresponding user and takes down notes keyword, such as identified by text semantic analytical technology
The information such as the corresponding subject of content, grade, chapters and sections, knowledge point recorded in user's notes out, and extracted as crucial
Word.
S300 takes down notes keyword according to the user and the user takes down notes source-information and generates user's notes label.
Specifically, taking down notes the corresponding user of source-information generation according to the user that the user of extraction takes down notes keyword and acquisition
The user of notes takes down notes label, and the quantity of user's notes keyword due to extracting in the above process and user's notes of acquisition come
There is no limit therefore, user can set the create-rule that user takes down notes label to source information.
For example, the create-rule is the user's notes key for setting each user and taking down notes label by specific preset number
Word and user take down notes source-information and constitute.When to take down notes keyword more by the user of said extracted, can choose wherein specific pre-
If the user of number takes down notes keyword and generates user's notes label.
For example, extract user take down notes keyword be " junior middle school's Third school grade ", " mathematics ", " chapter 3 ", " trigonometric function " and
" SIN function ", but create-rule set by user is only to need grade, subject and the aspect ground user's pen of knowledge point three
Remember keyword, therefore according to " junior middle school's Third school grade ", " mathematics " and " SIN function ", takes down notes source-information then in conjunction with user and generate
User takes down notes label.
In addition, similar setting, such as the use of acquisition can also be carried out when the user of acquisition notes source-information is more
It is " master tutorial class " and " video " that source-information is taken down notes at family, but create-rule set by user is only to need app program name,
Therefore according to " master tutorial class ", keyword is taken down notes in conjunction with user and generates user's notes label.
S400 takes down notes label according to the user and user notes is marked and is classified.
User's notes of acquisition are marked and are classified specifically, taking down notes label according to the user of above-mentioned generation,
User, which can independently set, selects user to take down notes classification of any one or more feature words as classification in label, the spy
Levying word is that the user that user takes down notes in label takes down notes keyword and user's notes source-information.
In the present embodiment, it is based on text semantic analytical technology, user's notes of user record are analyzed, then in conjunction with
User takes down notes corresponding user and takes down notes source-information generation user's notes label, to take down notes label automatically to user according to user
User's notes of record are classified, in order to which user quickly searches the target notes of oneself needs.
Another embodiment of the invention is the optimal enforcement example of the above embodiments, as shown in Figure 2, comprising:
S100 obtains user's notes and the user of user notes takes down notes source-information.
S200 extracts user from user notes by text semantic analytical technology and takes down notes keyword.
It is specific that the S200 extracts user's notes keyword by text semantic analytical technology from user notes
Include:
S210 is analyzed to obtain user's note contents information by text semantic analytical technology to user notes.
Specifically, being analyzed to obtain user's note contents information, example to user's notes by text semantic analytical technology
Such as, if a series of user's note taking good paragraph of the good sentence of good word of Chinese, it can analyze and show that user notes are
The material that user is accumulated by writing obtains corresponding user's note contents information as composition material.In addition, if user takes down notes
Record is formula, then analyzes and determines to be specifically what formula, the subject being related to and knowledge point etc., obtains corresponding user's pen
Remember that content information is formula and corresponding subject and knowledge point.
S220 user according to user's note contents information extraction takes down notes keyword.
Specifically, keyword is taken down notes according to user note contents information extraction user, for example, if user's note taking
A series of good paragraph of the good sentence of good word of Chinese, obtaining corresponding user's note contents information is composition material, the user extracted
Notes keyword is language composition.In addition, obtaining corresponding user's note contents information if user's note taking is formula
For formula and corresponding subject and knowledge point, it is corresponding subject and knowledge point that the user extracted, which takes down notes keyword,.
S300 takes down notes keyword according to the user and the user takes down notes source-information and generates user's notes label.
S400 takes down notes label according to the user and user notes is marked and is classified.
In the present embodiment, it is based on text semantic analytical technology, user's notes of user record are analyzed, to extract
User notes in keyword, convenient for it is subsequent to user notes classify and user quickly search target notes.
Another embodiment of the invention is the optimal enforcement example of the above embodiments, as shown in Figure 3, comprising:
S050 obtains notes keyword, establishes keywords database according to the notes keyword.
Specifically, notes keyword is obtained, the term in the subsequent information for differentiating user's input.Wherein, notes are crucial
Word can be user and independently set, and be also possible to system auto-associating, such as user sets the spies such as Chinese language, mathematics, trigonometric function
Sign word be that notes keyword or user set Chinese language as notes keyword, then system auto-associating mathematics.The subjects such as English
To take down notes keyword.Then keywords database is established according to all notes keywords.
S100 obtains user's notes and the user of user notes takes down notes source-information.
S200 extracts user from user notes by text semantic analytical technology and takes down notes keyword.
S300 takes down notes keyword according to the user and the user takes down notes source-information and generates user's notes label.
S400 takes down notes label according to the user and user notes is marked and is classified.
In the present embodiment, a large amount of notes keyword is obtained through a variety of ways, and crucial according to notes keyword foundation
Dictionary, the term to include in the subsequent information for rapidly and accurately differentiating user's input provide standard.
Another embodiment of the invention is the optimal enforcement example of the above embodiments, as shown in Figure 4, comprising:
S050 obtains notes keyword, establishes keywords database according to the notes keyword.
S100 obtains user's notes and the user of user notes takes down notes source-information.
S200 extracts user from user notes by text semantic analytical technology and takes down notes keyword.
It is specific that the S200 extracts user's notes keyword by text semantic analytical technology from user notes
Include:
S210 is analyzed to obtain user's note contents information by text semantic analytical technology to user notes.
S220 user according to user's note contents information extraction takes down notes keyword.
S300 takes down notes keyword according to the user and the user takes down notes source-information and generates user's notes label.
S400 takes down notes label according to the user and user notes is marked and is classified.
The concrete operations mode of each step in the present embodiment has been carried out in above-mentioned corresponding embodiment of the method
Detailed description, therefore no longer repeated one by one.
Another embodiment of the invention is the optimal enforcement example of the above embodiments, as shown in Figure 5, comprising:
S050 obtains notes keyword, establishes keywords database according to the notes keyword.
S100 obtains user's notes and the user of user notes takes down notes source-information.
S200 extracts user from user notes by text semantic analytical technology and takes down notes keyword.
S300 takes down notes keyword according to the user and the user takes down notes source-information and generates user's notes label.
S400 takes down notes label according to the user and user notes is marked and is classified.
S500 obtains user information.
Specifically, the user information of user's input is obtained, since interactive voice also has become man-machine friendship in intelligent terminal
One of the AC applications of mutual mainstream, therefore the user information may be the text information of user's input, it is also possible to user is real-time
The voice messaging of input needs to be converted into corresponding identification text and carries out subsequent processing again if it is voice messaging.
S600 compares the notes keyword in the user information and the keywords database, obtains user search
Word.
Specifically, the notes keyword in user information obtained above and the keywords database of foundation is compared, obtain
To user search word.The term that user may directly input is retrieved etc. for example, user inputs " Chinese language ".But user
As soon as that be also possible to input is long Duan Yuyin, corresponding user search word is obtained then needing to analyze, for example, user inputs
" me is helped to sort out about my all notes of this knowledge point of trigonometric function " then needs to carry out the information of above-mentioned input corresponding
Analysis.
The user search word and the user are taken down notes label and matched by S700, obtain corresponding target notes.
It seriatim matches, is corresponded to specifically, obtained user search word and all users are taken down notes label
Target notes.The quantity of user search word is related to the quantity of target notes that matching obtains, when the quantity of user search word
When less, the quantity of the target that matches notes is more, therefore, can according to the rule of user preset according to the record time,
Notes source-information, matching degree of correlation etc. are ranked up obtained target notes.
In the present embodiment, compared by the notes keyword in the keywords database of the user information and foundation that will acquire, from
And the user search word for including in user information is quickly obtained, to accurately retrieve corresponding target notes.
Another embodiment of the invention is the optimal enforcement example of the above embodiments, as shown in Figure 6, comprising:
S050 obtains notes keyword, establishes keywords database according to the notes keyword.
S100 obtains user's notes and the user of user notes takes down notes source-information.
S200 extracts user from user notes by text semantic analytical technology and takes down notes keyword.
S300 takes down notes keyword according to the user and the user takes down notes source-information and generates user's notes label.
S400 takes down notes label according to the user and user notes is marked and is classified.
S500 obtains user information.
S600 compares the notes keyword in the user information and the keywords database, obtains user search
Word.
The user search word and the user are taken down notes label and matched by S700, obtain corresponding target notes.
The user search word and the user are taken down notes label and matched by the S700, obtain corresponding target pen
Note specifically includes:
The user search word and the user are taken down notes label and matched by S710.
It is seriatim carried out specifically, the user of user search word and all user's notes that analysis obtains is taken down notes label
Matching.
If the feature word match that the S720 user search word and a user take down notes in label is consistent, matching is consistent
The user to take down notes label corresponding user notes be that the target is taken down notes.
Specifically, being consistent if user search word only takes down notes tag match with a user, the user's notes being consistent are matched
The corresponding user's notes of label are that target is taken down notes.Such as all users take down notes only one user notes and " trigonometric function " phase
It closes, it is " trigonometric function " which, which takes down notes corresponding user and take down notes label, then when user search word is " trigonometric function ", it is right
The target notes answered are user's notes that user takes down notes that label is " trigonometric function ".
It is consistent if the S730 user search word takes down notes tag match with multiple users, is chosen according to term matching degree
It is that the target is taken down notes that one or more users, which take down notes the corresponding user's notes of label, and the term matching degree is the user
Term takes down notes the number that the feature word being consistent is matched in label with the same user.
Specifically, being consistent if obtained user search word takes down notes tag match with multiple users, according to term
Choosing one or more users to take down notes the corresponding user's notes of label with degree is that target is taken down notes, wherein term matching degree is to use
Family term takes down notes the number that the feature word being consistent is matched in label with the same user.
For example, obtained user search word is " junior middle school's Third school grade ", " mathematics ", " chapter 3 ", " trigonometric function " and " sine
Function ", wherein user search word " junior middle school's Third school grade ", " mathematics " take down notes tag match with the user of user's notes 1 and are consistent, user
User's notes tag match phase of term " junior middle school's Third school grade ", " mathematics ", " chapter 3 ", " trigonometric function " and user's notes 2
Symbol, user search word " junior middle school's Third school grade ", " mathematics ", " chapter 3 ", " trigonometric function " and " SIN function " and user's notes 3
User takes down notes tag match and is consistent, then the sequence taken down notes according to term matching degree to user are as follows: user's notes 3, user's pen
Note 2, user's notes 1, choosing wherein one or more users notes is that target is taken down notes.
It may include multiple feature words in user search word and user's notes label, therefore pass through in the present embodiment
User search word may retrieve multiple corresponding user's notes of user's notes label for matching and being consistent, and pass through term matching degree
Corresponding target notes are chosen, is on the one hand preferably that user provides most similar target notes, on the other hand avoids providing excessive
Target notes for user select, influence user experience.
One embodiment of the present of invention, as shown in fig. 7, a kind of couple of user takes down notes the system 100 classified, comprising:
Module 110 is obtained, the user for obtaining user's notes and user notes takes down notes source-information.
Specifically, obtaining all corresponding user's notes of user's notes and user that module 110 obtains user record
Source-information, which takes down notes the position that source-information is the corresponding user's notes of user record, for example in which app program
Middle record.
It is all mentioned for example, private tutor's machine currently on the market synchronizes etc. in multiple app programs in master tutorial class, three sections for user
For taking down notes function, wherein each app program provides a variety of display forms again, for example video, auxiliary, point reading of religion etc., therefore, system
User's notes of user record on private tutor's machine are obtained, while obtaining the user and taking down notes corresponding user record user notes
App program and corresponding display form.
Extraction module 120, through text semantic analytical technology from the user notes that the acquisition module 110 obtains
It extracts user and takes down notes keyword.
Specifically, the semanteme for user's notes that extraction module 120 is got by the analysis of text semantic analytical technology, thus
The particular content of user notes is obtained, corresponding user is then therefrom extracted and takes down notes keyword, such as pass through text semantic point
Analysis technology identifies the information such as the corresponding subject of content, grade, chapters and sections, knowledge point recorded in user's notes, and is mentioned
It is taken as keyword.
Generation module 130 takes down notes keyword and the acquisition module according to the user that the extraction module 120 extracts
110 users obtained take down notes source-information and generate user's notes label.
Specifically, generation module 130 takes down notes source-information life according to the user that the user of extraction takes down notes keyword and acquisition
Label is taken down notes at the user of corresponding user notes, since the user extracted in the above process takes down notes the quantity and acquisition of keyword
User take down notes source-information there is no limit, therefore, user can set user take down notes label create-rule.
For example, the create-rule is the user's notes key for setting each user and taking down notes label by specific preset number
Word and user take down notes source-information and constitute.When to take down notes keyword more by the user of said extracted, can choose wherein specific pre-
If the user of number takes down notes keyword and generates user's notes label.
For example, extract user take down notes keyword be " junior middle school's Third school grade ", " mathematics ", " chapter 3 ", " trigonometric function " and
" SIN function ", but create-rule set by user is only to need grade, subject and the aspect ground user's pen of knowledge point three
Remember keyword, therefore according to " junior middle school's Third school grade ", " mathematics " and " SIN function ", takes down notes source-information then in conjunction with user and generate
User takes down notes label.
In addition, similar setting, such as the use of acquisition can also be carried out when the user of acquisition notes source-information is more
It is " master tutorial class " and " video " that source-information is taken down notes at family, but create-rule set by user is only to need app program name,
Therefore according to " master tutorial class ", keyword is taken down notes in conjunction with user and generates user's notes label.
Categorization module 140, according to the generation module 130 generate the user take down notes label to the user take down notes into
Line flag is simultaneously classified.
User's notes of acquisition are marked specifically, categorization module 140 takes down notes label according to the user of above-mentioned generation
And classify, user, which can independently set, selects user to take down notes any one or more feature words in label as classification
Classification, this feature word is that the user that user takes down notes in label takes down notes keyword and user and takes down notes source-information.
In the present embodiment, it is based on text semantic analytical technology, user's notes of user record are analyzed, then in conjunction with
User takes down notes corresponding user and takes down notes source-information generation user's notes label, to take down notes label automatically to user according to user
User's notes of record are classified, in order to which user quickly searches the target notes of oneself needs.
Another embodiment of the invention is the optimal enforcement example of the above embodiments, as shown in Figure 8, comprising:
Dictionary establishes module 150, obtains notes keyword, establishes keywords database according to the notes keyword.
Specifically, dictionary, which establishes module 150, obtains notes keyword, the retrieval in the subsequent information for differentiating user's input
Word.Wherein, notes keyword can be user and independently set, and be also possible to system auto-associating, such as user sets Chinese language, number
The features such as, trigonometric function word is that notes keyword or user sets Chinese language as notes keyword, then system auto-associating
Mathematics.The subjects such as English are notes keyword.Then keywords database is established according to all notes keywords.
Module 110 is obtained, the user for obtaining user's notes and user notes takes down notes source-information.
Extraction module 120, through text semantic analytical technology from the user notes that the acquisition module 110 obtains
It extracts user and takes down notes keyword.
The extraction module 120 specifically includes:
Analytical unit 121, by text semantic analytical technology to it is described acquisition module 110 obtain the user take down notes into
Row analysis obtains user's note contents information.
Specifically, analytical unit 121 analyzes user's notes by text semantic analytical technology to obtain user's notes
Content information, for example, if a series of user's note taking good paragraph of the good sentence of good word of Chinese, can analyze and obtain this
User's notes are the materials that user is accumulated by writing, obtain corresponding user's note contents information as composition material.In addition, such as
Fruit user's note taking is formula, then analyzes and determines to be specifically what formula, the subject being related to and knowledge point etc. obtain pair
The user's note contents information answered is formula and corresponding subject and knowledge point.
Extraction unit 122, according to user described in user's note contents information extraction that the analytical unit 121 obtains
Take down notes keyword.
Specifically, extraction unit 122 according to user note contents information extraction user take down notes keyword, for example, if with
A series of family note taking good paragraph of the good sentence of good word of Chinese, obtains corresponding user's note contents information as composition material,
It is language composition that the user extracted, which takes down notes keyword,.In addition, obtaining corresponding user if user's note taking is formula
Note contents information is formula and corresponding subject and knowledge point, the user extracted take down notes keyword be corresponding subject and
Knowledge point.
Generation module 130 takes down notes keyword and the acquisition module according to the user that the extraction module 120 extracts
110 users obtained take down notes source-information and generate user's notes label.
Categorization module 140, according to the generation module 130 generate the user take down notes label to the user take down notes into
Line flag is simultaneously classified.
Data obtaining module 160 obtains user information.
Specifically, data obtaining module 160 obtains the user information of user's input, since interactive voice also has become intelligence
One of the AC applications of human-computer interaction mainstream in energy terminal, therefore the user information may be the text information of user's input,
It may be the voice messaging that user inputs in real time, if it is voice messaging, need to be converted into after corresponding identification text carries out again
Continuous processing.
The user information that the data obtaining module 160 obtains and the dictionary are established module by contrast module 170
Notes keyword in 150 keywords databases established compares, and obtains user search word.
Specifically, contrast module 170 is by the notes keyword in user information obtained above and the keywords database of foundation
It compares, obtains user search word.The term that user may directly input is retrieved for example, user inputs " Chinese language "
Deng.As soon as but user be also possible to input be long Duan Yuyin, then need analysis obtain corresponding user search word, example
Such as, user's input " me is helped to sort out about my all notes of this knowledge point of trigonometric function ", then need to above-mentioned input
Information is analyzed accordingly.
Matching module 180, the user search word that the contrast module 170 is obtained and the generation module 130 are raw
At the user take down notes label and match, obtain the notes of corresponding target.
It is seriatim carried out specifically, obtained user search word and all user are taken down notes label by matching module 180
Match, obtains corresponding target notes.The quantity of user search word is related to the quantity of target notes that matching obtains, when user examines
When the negligible amounts of rope word, the quantity of the target that matches notes is more, therefore, can according to the rule of user preset according to
Record time, notes source-information, matching degree of correlation etc. are ranked up obtained target notes.
The matching module 180 specifically includes:
Matching unit 181, the user search word that the contrast module 170 is obtained and the generation module 130 are raw
At the user take down notes label match.
Specifically, the user that user search word and all users that matching unit 181 obtains analysis are taken down notes takes down notes mark
Label are seriatim matched.
Processing unit 182, if the matching unit 181 show that the user search word and a user take down notes tag match
It is consistent, then matching the user being consistent and taking down notes the corresponding user's notes of label is that the target is taken down notes.
Specifically, being consistent if user search word only takes down notes tag match with a user, processing unit 182 will match phase
The user of symbol takes down notes the corresponding user's notes of label and is set to target notes.Such as all users take down notes only one user notes
" trigonometric function " is related, and it is " trigonometric function " which, which takes down notes corresponding user and take down notes label, then when user search word is
When " trigonometric function ", corresponding target notes are user's notes that user takes down notes that label is " trigonometric function ".
The processing unit 182, if the matching unit 181 show that the user search word and multiple users take down notes label
Matching is consistent, then choosing one or more users to take down notes the corresponding user's notes of label according to term matching degree is the target
Notes, the term matching degree are to match the feature word being consistent in the user search word and same user notes label
Number.
Specifically, be consistent if obtained user search word takes down notes tag match with multiple users, processing unit 182
Choosing one or more users to take down notes the corresponding user's notes of label according to term matching degree is that target is taken down notes, wherein term
Matching degree is that user search word takes down notes the number that the feature word being consistent is matched in label with the same user.
For example, obtained user search word is " junior middle school's Third school grade ", " mathematics ", " chapter 3 ", " trigonometric function " and " sine
Function ", wherein user search word " junior middle school's Third school grade ", " mathematics " take down notes tag match with the user of user's notes 1 and are consistent, user
User's notes tag match phase of term " junior middle school's Third school grade ", " mathematics ", " chapter 3 ", " trigonometric function " and user's notes 2
Symbol, user search word " junior middle school's Third school grade ", " mathematics ", " chapter 3 ", " trigonometric function " and " SIN function " and user's notes 3
User takes down notes tag match and is consistent, then the sequence taken down notes according to term matching degree to user are as follows: user's notes 3, user's pen
Note 2, user's notes 1, choosing wherein one or more users notes is that target is taken down notes.
In the present embodiment, a large amount of notes keyword is obtained through a variety of ways, and crucial according to notes keyword foundation
Dictionary, the term to include in the subsequent information for rapidly and accurately differentiating user's input provide standard.Based on text semantic point
Analysis technology analyzes user's notes of user record, so that the keyword in user's notes is extracted, convenient for subsequent to user
Notes are classified and user quickly searches target notes.
By the notes keyword comparison in the keywords database of the user information and foundation that will acquire, to quickly be used
The user search word for including in the information of family, to accurately retrieve corresponding target notes.User search word and user take down notes mark
It may include multiple feature words in label, therefore user's notes that multiple matchings are consistent may be retrieved by user search word
The corresponding user's notes of label, choose corresponding target by term matching degree and take down notes, and are on the one hand preferably that user provides most
On the other hand similar target notes avoid providing excessive target notes for user's selection, influence user experience.
It should be noted that above-described embodiment can be freely combined as needed.The above is only of the invention preferred
Embodiment, it is noted that for those skilled in the art, in the premise for not departing from the principle of the invention
Under, several improvements and modifications can also be made, these modifications and embellishments should also be considered as the scope of protection of the present invention.
Claims (10)
1. a kind of couple of user takes down notes the method classified characterized by comprising
The user for obtaining user's notes and user notes takes down notes source-information；
User, which is extracted, from user notes by text semantic analytical technology takes down notes keyword；
Keyword is taken down notes according to the user and the user takes down notes source-information and generates user's notes label；
It takes down notes label according to the user user notes are marked and are classified.
2. according to claim 1 take down notes the method classified to user, which is characterized in that described to pass through text language
Adopted analytical technology is extracted user's notes keyword from user notes and is specifically included:
User notes are analyzed to obtain user's note contents information by text semantic analytical technology；
Keyword is taken down notes according to user described in user's note contents information extraction.
3. according to claim 1 or 2 take down notes the method classified to user, which is characterized in that the acquisition is used
The user of family notes and user notes takes down notes source-information
Notes keyword is obtained, keywords database is established according to the notes keyword.
4. according to claim 3 take down notes the method classified to user, which is characterized in that further include:
Obtain user information；
Notes keyword in the user information and the keywords database is compared, user search word is obtained；
The user search word and the user are taken down notes label to match, obtain corresponding target notes.
5. according to claim 4 take down notes the method classified to user, which is characterized in that described by the user
Term and the user take down notes label and match, and obtain corresponding target notes and specifically include:
The user search word and the user are taken down notes label to match；
If the user search word and a user take down notes tag match and be consistent, matches the user being consistent and take down notes label pair
The user's notes answered are that the target is taken down notes；
It is consistent if the user search word takes down notes tag match with multiple users, chooses one or more according to term matching degree
It is that the target is taken down notes that a user, which takes down notes the corresponding user's notes of label, the term matching degree be the user search word and
The same user takes down notes the number that the feature word being consistent is matched in label.
6. a kind of couple of user takes down notes the system classified characterized by comprising
Module is obtained, the user for obtaining user's notes and user notes takes down notes source-information；
Extraction module extracts user's pen from the user notes that the acquisition module obtains by text semantic analytical technology
Remember keyword；
Generation module, the user extracted according to the extraction module take down notes described in keyword and acquisition module acquisition
User takes down notes source-information and generates user's notes label；
Categorization module, user notes, which are marked, in the user notes label generated according to the generation module goes forward side by side
Row classification.
7. according to claim 6 take down notes the system classified to user, which is characterized in that the extraction module is specific
Include:
Analytical unit is analyzed to obtain by the user notes that text semantic analytical technology obtains the acquisition module
User's note contents information；
Extraction unit is taken down notes crucial according to user described in user's note contents information extraction that the analytical unit obtains
Word.
8. according to claim 6 or 7 take down notes the system classified to user, which is characterized in that further include:
Dictionary establishes module, obtains notes keyword, establishes keywords database according to the notes keyword.
9. according to claim 8 take down notes the system classified to user, which is characterized in that further include:
Data obtaining module obtains user information；
Contrast module establishes the user information that the data obtaining module obtains and the dictionary described in module establishes
Notes keyword in keywords database compares, and obtains user search word；
The user pen that matching module, the user search word that the contrast module is obtained and the generation module generate
Note label is matched, and corresponding target notes are obtained.
10. according to claim 9 take down notes the system classified to user, which is characterized in that the matching module tool
Body includes:
The user pen that matching unit, the user search word that the contrast module is obtained and the generation module generate
Note label is matched；
Processing unit, if the matching unit show that the user search word and a user take down notes tag match and be consistent,
Taking down notes the corresponding user's notes of label with the user being consistent is that the target is taken down notes；
The processing unit, if the matching unit show that the user search word takes down notes tag match with multiple users and is consistent,
Then choosing one or more users to take down notes the corresponding user's notes of label according to term matching degree is that the target is taken down notes, described
Term matching degree is that the user search word takes down notes the number that the feature word being consistent is matched in label with the same user.
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