CN107944003A - A kind of classic poetry is collected and data analysing method - Google Patents
A kind of classic poetry is collected and data analysing method Download PDFInfo
- Publication number
- CN107944003A CN107944003A CN201711280142.8A CN201711280142A CN107944003A CN 107944003 A CN107944003 A CN 107944003A CN 201711280142 A CN201711280142 A CN 201711280142A CN 107944003 A CN107944003 A CN 107944003A
- Authority
- CN
- China
- Prior art keywords
- analysis
- classic poetry
- data
- poetry
- classic
- 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.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
- G06F16/3344—Query execution using natural language analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/105—Human resources
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Artificial Intelligence (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Databases & Information Systems (AREA)
- General Health & Medical Sciences (AREA)
- Economics (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
Abstract
The present invention relates to data analysis application technical field, particularly a kind of classic poetry is collected and data analysing method.The method of the present invention supports user voluntarily to input the poem of each poet by building the collection method of a classic poetry by the method for reward, and supports other different users to correct the error situation of poem, forms the incentive method of a set of Data Collection；, can be by carrying out data analysis to classic poetry, including to the authors' state of classic poetry, creation situation, Annual distribution, key word analysis, the analysis for the correlative detail such as associating with famous sites after it have collected complete classic poetry.This method passes through the collection based on large-scale classic poetry, so as to form complete poem collection, pass through all kinds of big data analysis methods, all poems are analyzed, it is quick to form analysis report, various academic report applications are can be applied to, especially for the big data analysis of the related classic poetry of present each middle and primary schools, there is provided a method quickly analyzed.
Description
Technical field
The present invention relates to data analysis application technical field, particularly a kind of classic poetry is collected and data analysing method.
Background technology
With the popularization of big data analysis, analysis of the related personnel for each field is more and more.To the big of specific area
Data analysis, can make understanding of the personnel in each field to the concrete condition in its field more deep, particular situation concrete analysis；
So as to fulfill analysis generally.Analysis for classic poetry, if analyzed for the related works of some poet, can obtain
Go out the frequency of its word used, the main output time of its works etc.；So as to analyze the life situation of poet and life
Track；But classic poetry is analyzed, main difficult point is：
1. the collection of classic poetry：The problem of quantity of classic poetry is more, and scope is wide, and complete, correct collection is one very big,
Design especially for incidence relations such as author, classic poetry, ages is, it is necessary to there is special personnel to carry out typing and data correlation
The maintenance of relation, need to realize that more people participate in by certain mechanism.
2. data analysis algorithm application：The algorithm of big data analysis, be related to it is main have segmentation methods, association algorithm, when
Sequence algorithm etc., it is higher that the application of its each algorithm is related to the thresholds such as the computer literacy of specialty, higher mathematics, for common people
Carrying out relevant data analysis for member has larger difficulty.But for the data analysis of classic poetry, we can by based on
Fixed data format, fixed pattern write specific analytic process, so as to fulfill specific in specific classic poetry field, orientation exploitation
Correlation analysis.
Two difficult points based on more than, the related personnel in each field, without the assistance of the professional of big data analysis, nothing
Method realizes the collection of related data and the application of parser, while the scope of classic poetry is wide, and content is more, and incidence relation is complicated,
Ensure the accurate acquisition of data, it is necessary to there is corresponding reward mechanism, mobilize vast user to realize the typing of data and school
Just.
The content of the invention
Present invention solves the technical problem that it is to provide a kind of classic poetry collection and data analysing method；Formed complete ancient
Poem collection method, to according to authors' state, creation situation, Annual distribution, key word analysis, with famous sites associate etc. it is related
Details is analyzed.
The present invention solve above-mentioned technical problem technical solution be：
The method includes following steps：
Step 1：The data memory retention system of a classic poetry feature is established, the typing for classic poetry data preserves；
Step 2：Classic poetry data are captured from network, and are entered into system；Or do not grabbed by relevant user's typing
Enroll into classic poetry, the user of the new classic poetry of typing obtains corresponding reward on total mark；
Step 3：To there is the classic poetry of mistake or the indefinite typing of correspondence, user is proposed that modification or specifies it
Correspondence；After correlation examination ＆ verification passes through, corresponding integration is obtained；
Step 4：On the basis of the classic poetry of typing, the analysis dimension of relevant service logic is established, including：On the whole
Analyze, the analysis of individual poet, the analyzing of some period, the analysis of multiple poets etc., the dimension of analysis can be in follow-up reality
Existing process constantly improve；
Step 5：In each analysis dimension, it is established that a variety of parsers, including：The analysis of time shaft, participle analysis, pass
Keyword analysis, word association analysis etc., each parser are used for the calling of various analysis dimensions；
Step 6：The user analyzed using classic poetry is needed, after paying corresponding expense, dependent on foundation in system
Dimension, parser are analyzed, selected analyst coverage is analyzed, forms analysis report and report；
Step 7, the content to same poet or same period can carry out multiple analysis, pass through multiple analyses
The content of report, ultimately forms one completely to the analysis result of some dimension, the application support for specialty.
The method is realized by classic poetry data collection module and classic poetry data analysis module；
The classic poetry data collection module collects classic poetry by modes such as data grabbers；For wrong present in it
By mistake, correspondence is indefinite；It can be modified by user；
The classic poetry data analysis module realizes the analysis of each dimension, many algorithms.
In the method, difference data verification, correctness check and correction are carried out to crawl or classic poetry input by user, is avoided
Repeated data typing or mistake.
The analysis of the time shaft：Creation including the individual poet of analysis on all one's life is distributed, and global analysis, which is checked, goes through
The creation of old poetry analysis of history time shaft；
The participle analysis：The word for liking using including individual poet is distributed, and each Annual distribution of history is liked using
Word statistics etc.；
The key word analysis：Including inputting relevant famous sites, the frequency occurred in classic poetry is analyzed, is occurred
Historical rethinking etc.；
The word association analysis：After segmenting statistics, the frequency that all kinds of word associations occur is analyzed, counts phase
Closing property etc..
In the method, structuring processing is carried out to the classic poetry of acquisition；Including according to author, generation time, generation
The factors such as place are defined.
The beneficial effects of the invention are as follows：
The problem of being likely to occur in the characteristics of by analyzing classic poetry and its collection, trimming process, design one it is general
Method, by reward the typing of user with correction, collect the correlative charges of analysis user, so as to fulfill the collection to classic poetry
With the complete procedure of analysis.
The method of the present invention is the related personnel in non-big data analysis field, there is provided one carries out big data point to classic poetry
One method of analysis, reduces its threshold for using big data analysis, has promoted the application of big data analysis, solved without professional people
The problem of member achieves that big data analysis, embodies the value that big data is analyzed；Gu after a wide range of collect at the same time
Poem data, it is subsequently expansible to be used for relevant data application by the analyzing and processing of artificial intelligence, such as realize that machine is automatic
Compose poem, famous sites brand value analysis etc., realizes the application value of big data analysis.
This method is by the collection based on large-scale classic poetry, so as to form complete poem collection, passes through all kinds of big numbers
According to analysis methods, all poems are analyzed, quickly form analysis report, can be applied to various academic report applications,
Especially for the big data analysis of the related classic poetry of present each middle and primary schools, there is provided a method quickly analyzed, it is real
The value dimension of existing classic poetry data, the utilization to promoting species classic poetry data, lifts the utility value benefits of data.
Brief description of the drawings
The present invention is further described below in conjunction with the accompanying drawings：
Attached drawing 1 is the collection of classic poetry of the present invention and the method frame figure for carrying out big data analysis.
Embodiment
As shown in Figure 1, the process step of the method for collection and progress big data analysis of the present invention based on classic poetry is：
Step 1：The data memory retention system of a classic poetry feature is established, the typing for classic poetry data preserves；
Step 2：Most classic poetry data are captured from network, and are entered into system；Or recorded by relevant user
Enter not capture the classic poetry of typing, the user of the new classic poetry of typing obtains corresponding reward on total mark；
Step 3：The classic poetry of typing is there may be wrong word or correspondence are indefinite, and user is for existing mistake
By proposition modification or its correspondence is specified, after correlation examination ＆ verification passes through, corresponding integration is obtained in the case of correct；
Step 4：On the basis of the classic poetry of typing, the analysis dimension of relevant service logic is established, including：On the whole
Analyze, the analysis of individual poet, the analyzing of some period, the analysis of multiple poets etc., the dimension of analysis is in follow-up realization
Process constantly improve；
Step 5：In each analysis dimension, it is established that a variety of parsers, including：The analysis of time shaft, participle analysis, pass
Keyword analysis, word association analysis etc., each parser are used for the calling of various analysis dimensions；
Step 6：The user analyzed using classic poetry is needed, analysis dimension, parser in system dependent on foundation,
Selected analyst coverage is analyzed, so as to form analysis report, forms analytical statement；
Step 7, the user analyzed before analysis, need to pay corresponding expense, for classic poetry typing, correction personnel
Reward；
Step 8, analysis content of the personnel by multiple analysis reports, ultimately form one completely to some dimension
Analysis result, for specialty application support.
The method of the present invention, is established on the basis of big data storage, by from ancient times to the present, the poem of all kinds of poets
Sort out, collect, it is established that a data store organisation that can be quickly analyzed, and sorted out on a large scale, entangled
Just, perfect classic poetry analysis data are formed, finally carry out the analysis of various big datas, main function includes two parts：
Classic poetry data collection module：Classic poetry Data Collection is mainly carried out by modes such as data grabbers, but for
The details of correlation author therein, situations such as capturing the corrigenda of data, is, it is necessary to carry out detailed school by relevant personnel
Right, this method is by the acquisition that data grabber realizes most of poem, then by designing relevant motivational techniques, realizes logical
Cross word to carry out the correction of related classic poetry and the work such as replenish, expand the data source of classic poetry；
Classic poetry data analysis module：Data analysis module is established on the data collection module of classic poetry, based on being
Data are carried out a variety of points of authors' analysis, Age Analysis, word-breaking analysis, scenario analysis etc. by the species classic poetry data that system is collected
Analyse the integrated of algorithm, the method that perfect data analysis is provided to each user；Since analysis is the classic poetry based on systematic collection,
So using the word of analytic function, the related word that certain expense is collected for bonus data need to be paid；
The method of the present invention, target are that the analysis of big data is carried out to all classic poetries, in order to try to achieve classic poetry as possible
It is complete and accurate, by it is relevant charge and reward mechanism, realize classic poetry from the collection of data, correction, analysis, application
Deng a complete flow, so as to reduce the difficulty for carrying out classic poetry big data analysis, popularization big data analysis is on classic poetry
Application.
Classic poetry big data analysis is, it is necessary to based on the analysis that related big data algorithm is carried out on substantial amounts of classic poetry, largely
Classic poetry, can be obtained by way of online data grabber, support user to input by way of reward, either
The crawl or user's input of online data are carried out, is required for the data that difference inputs whether to exist, avoids data inputting
Repetition the problem of.
The classic poetry of typing is in the case where ensuring no repetition, it is also necessary to ensure the correctness of data inputting, including it is error-free
Malapropism, author are correct etc., these need, by corresponding reward mechanism, by way of rewarding user, to mobilize vast user
These data are modified, correction result is normal, can reward corresponding integration, and available for follow-up data analysis when makes
With.
Classic poetry big data analysis, most critical are the classic poetry data volumes for having relevant structuring, the data volume of structuring
Including authors' state, classic poetry, poem generation time, place etc., are obtained by the method for data grabber and carried out from network
The data of importing, associate with author, time, the place of works, it is necessary to special personnel are handled, or even sometimes these
Time, place can not associate；For these professional related data related jobs of any of needs, can by with relevant specialty
Personage cooperates, and is presented one's view by professional person and carries out typing and amendment, so as to ensure the accuracy of related data.
Collection based on classic poetry, the scope being related to is wide, and most classic poetry typing work can be captured by network
Mode carry out typing, but wherein have mistakes and omissions unavoidably or need what professional was modified, resultant awards can be passed through
Mode, activate the enthusiasm of all types of user, support data inputting and the amendment of larger range of classic poetry, it is ensured that the record of data
It is accurate to enter, and resultant awards expense, is mainly derived from the user analyzed using classic poetry.
The purpose of collection of classic poetry is to carry out data analysis, including analyzing on the whole, individual poet analysis, some
The analyzing of period, analysis of multiple poets etc., the purpose of analysis, is by various types of analyses, draws each period, each
The characteristics of poet situation, for the various applied analyses of all types of user, such as analysis of the students in middle and primary schools for some poet, establish
The personal information of image.
The analysis of classic poetry, from the analytic angle of each dimension for, the related algorithm being related to has：Point of time shaft
Analysis：Creation including the individual poet of analysis on all one's life is distributed, and the creation of old poetry analysis of historical time axis is checked in global analysis；
Participle analysis：The word for liking using including individual poet is distributed, and the word that each Annual distribution of history is liked using counts etc.；Close
Keyword is analyzed：Such as relevant famous sites are inputted, analyze the frequency occurred in classic poetry, the historical rethinking of appearance etc.；Word
Language association analysis：After segmenting statistics, the frequency that all kinds of word associations occur is analyzed, counts correlation etc..
There are relevant classic poetry data, and the related algorithm being implemented in combination with, user can be by searching for present on systems
All kinds of poems, author, the algorithm of reselection analysis, analyze so as to fulfill to the classic poetry for wanting to understand, and draw final point
Analysis report；Multiple analysis can be carried out to the content of same poet or same period, ultimately form one completely
Analysis report, realizes big Data Integration.
Collection and accurate data of the analysis of classic poetry based on related classic poetry, in order to reward the record of the data of associated user
The correction entered, need to be rewarded the user for providing typing and correction accordingly, so for being divided using basic data
The user of analysis, need to pay corresponding expense in analysis, the user of element task has been for rewarding；The user analyzed can
Data inputting and the work of correction are participated in, relevant integration is obtained by data inputting and correction, is supported when carrying out data analysis
Detain relevant expense expenditure.
The big data analysis of classic poetry, its basis is data acquisition and the correction of large-scale classic poetry, to classic poetry
Analysis has very big user's needs again, and such as vast students in middle and primary schools, all kinds of classic poetry researchers, but for them, carry out
The application of Correlative data analysis algorithm, is great difficulty, method of this method by brining together, it is established that corresponding classic poetry is received
Diversity method and the relevant typing of progress, correction reward, the data of collection are by establishing existing parser, there is provided to vast
Medium and small study, all kinds of classic poetry researchers simultaneously collect certain expense, so that setting up one includes classic poetry Data Collection, divides
Analysis, the application of application, the method for solving big data analysis classic poetry for all types of user, so as to fulfill big data in classic poetry point
The integration of data resource in analysis, realizes the value of the data analysis of each classic poetry.
Claims (7)
1. collection and the data analysing method of a kind of classic poetry, it is characterised in that：The method includes following steps：
Step 1：The data memory retention system of a classic poetry feature is established, the typing for classic poetry data preserves；
Step 2：Classic poetry data are captured from network, and are entered into system；Or record is not captured by relevant user's typing
The classic poetry entered, the user of the new classic poetry of typing obtain corresponding reward on total mark；
Step 3：To there is the classic poetry of mistake or the indefinite typing of correspondence, user is proposed that modification or specifies its correspondence
Relation；After correlation examination ＆ verification passes through, corresponding integration is obtained；
Step 4：On the basis of the classic poetry of typing, the analysis dimension of relevant service logic is established, including：Point on the whole
Analysis, the analysis of individual poet, the analyzing of some period, analysis of multiple poets etc., the dimension of analysis can be in follow-up realization
Journey constantly improve；
Step 5：In each analysis dimension, it is established that a variety of parsers, including：The analysis of time shaft, participle analysis, keyword
Analysis, word association analysis etc., each parser are used for the calling of various analysis dimensions；
Step 6：The user analyzed using classic poetry is needed, after paying corresponding expense, dependent on the analysis established in system
Dimension, parser, analyze selected analyst coverage, form analysis report and report；
Step 7, the content to same poet or same period can carry out multiple analysis, pass through multiple analysis reports
Content, ultimately form one completely to the analysis result of some dimension, the application support for specialty.
2. according to the method described in claim 1, it is characterized in that：The method is by classic poetry data collection module and ancient poetry
Word data analysis module is realized；
The classic poetry data collection module collects classic poetry by modes such as data grabbers；For wrong, right present in it
It should be related to indefinite；It can be modified by user；
The classic poetry data analysis module realizes the analysis of each dimension, many algorithms.
3. according to the method described in claim 1, it is characterized in that：
In the method, difference data verification, correctness check and correction are carried out to crawl or classic poetry input by user, avoids repeating
Data inputting or mistake.
4. according to the method described in claim 2, it is characterized in that：
In the method, difference data verification, correctness check and correction are carried out to crawl or classic poetry input by user, avoids repeating
Data inputting or mistake.
5. method according to any one of claims 1 to 4, it is characterised in that：
The analysis of the time shaft：Creation including the individual poet of analysis on all one's life is distributed, when history is checked in global analysis
The creation of old poetry analysis of countershaft；
The participle analysis：The word for liking using including individual poet is distributed, and each Annual distribution of history likes the word used
Language statistics etc.；
The key word analysis：Including inputting relevant famous sites, the frequency occurred in classic poetry is analyzed, appearance is gone through
History distribution etc.；
The word association analysis：After segmenting statistics, the frequency that all kinds of word associations occur is analyzed, counts correlation
Deng.
6. method according to any one of claims 1 to 4, it is characterised in that：In the method, to the classic poetry of acquisition
Carry out structuring processing；Including being defined according to factors such as author, generation time, generation places.
7. according to the method described in claim 5, it is characterized in that：In the method, structure is carried out to the classic poetry of acquisition
Change is handled；Including being defined according to factors such as author, generation time, generation places.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711280142.8A CN107944003A (en) | 2017-12-06 | 2017-12-06 | A kind of classic poetry is collected and data analysing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711280142.8A CN107944003A (en) | 2017-12-06 | 2017-12-06 | A kind of classic poetry is collected and data analysing method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107944003A true CN107944003A (en) | 2018-04-20 |
Family
ID=61945029
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711280142.8A Withdrawn CN107944003A (en) | 2017-12-06 | 2017-12-06 | A kind of classic poetry is collected and data analysing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107944003A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109948157A (en) * | 2019-03-13 | 2019-06-28 | 日照职业技术学院 | A kind of poem is collected and data analysing method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150154177A1 (en) * | 2013-12-03 | 2015-06-04 | International Business Machines Corporation | Detecting Literary Elements in Literature and Their Importance Through Semantic Analysis and Literary Correlation |
| CN106156005A (en) * | 2016-07-06 | 2016-11-23 | 天津大学 | Based on visual classic poetry characteristic analysis method |
| CN106227714A (en) * | 2016-07-14 | 2016-12-14 | 北京百度网讯科技有限公司 | A kind of method and apparatus obtaining the key word generating poem based on artificial intelligence |
-
2017
- 2017-12-06 CN CN201711280142.8A patent/CN107944003A/en not_active Withdrawn
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150154177A1 (en) * | 2013-12-03 | 2015-06-04 | International Business Machines Corporation | Detecting Literary Elements in Literature and Their Importance Through Semantic Analysis and Literary Correlation |
| CN106156005A (en) * | 2016-07-06 | 2016-11-23 | 天津大学 | Based on visual classic poetry characteristic analysis method |
| CN106227714A (en) * | 2016-07-14 | 2016-12-14 | 北京百度网讯科技有限公司 | A kind of method and apparatus obtaining the key word generating poem based on artificial intelligence |
Non-Patent Citations (2)
| Title |
|---|
| WXM_PM: "产品初体验F7_西窗烛_2017.8.24", 《HTTPS://WWW.JIANSHU.COM/P/32B668CB254D》 * |
| 张建立等: "古诗词文本的空间信息解析与可视化分析", 《地球信息科学》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109948157A (en) * | 2019-03-13 | 2019-06-28 | 日照职业技术学院 | A kind of poem is collected and data analysing method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Williams Jr et al. | Re-examining systematic literature review in management research: Additional benefits and execution protocols | |
| Bornmann | Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics | |
| James et al. | Herbarium data: Global biodiversity and societal botanical needs for novel research | |
| CN111737495B (en) | Middle-high-end talent intelligent recommendation system and method based on domain self-classification | |
| Ruppert et al. | Socialising big data: from concept to practice | |
| Ratajczyk et al. | Challenges and opportunities in coding the commons: problems, procedures, and potential solutions in large-N comparative case studies | |
| Clement et al. | Xair: A systematic metareview of explainable ai (xai) aligned to the software development process | |
| CN109101519B (en) | Information acquisition system and heterogeneous information fusion system | |
| Whitley et al. | Analyzing media representations of mental illness: lessons learnt from a national project | |
| Hajikhani | Impact of entrepreneurial ecosystem discussions in smart cities: Comprehensive assessment of social media data | |
| Münster et al. | Digital topics on cultural heritage investigated: how can data-driven and data-guided methods support to identify current topics and trends in digital heritage? | |
| KR20200145299A (en) | Intelligent recruitment support platform based on online interview video analysis and social media information analysis | |
| Jing et al. | Bibliometric mapping techniques in educational technology research: A systematic literature review | |
| Cushman | Entropy in landscape ecology: A quantitative textual multivariate review | |
| Azeroual et al. | Text data mining and data quality management for research information systems in the context of open data and open science | |
| Baranowski et al. | Social welfare in the light of topic modelling | |
| CN109002561A (en) | Automatic document classification method, system and medium based on sample keyword learning | |
| Subrahmanya et al. | Advanced machine learning methods for production data pattern recognition | |
| Ruppert | Visual analytics to support evidence-based decision making | |
| CN107944003A (en) | A kind of classic poetry is collected and data analysing method | |
| Dokshin | The public speaks: Using large-scale public comments data in public response research | |
| Goel et al. | Data governance for managing data quality in process mining | |
| Augenstein et al. | Towards Value Proposition Mining" Exploration of Design Principles. | |
| Govea et al. | Optimization and Scalability of Educational Platforms: Integration of Artificial Intelligence and Cloud Computing | |
| Vardigan et al. | Documenting survey data across the life cycle |
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 | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20180420 |
|
| WW01 | Invention patent application withdrawn after publication |