CN102541933A - Method for tracking forum character on basis of concept lattice - Google Patents
Method for tracking forum character on basis of concept lattice Download PDFInfo
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- CN102541933A CN102541933A CN2010106181002A CN201010618100A CN102541933A CN 102541933 A CN102541933 A CN 102541933A CN 2010106181002 A CN2010106181002 A CN 2010106181002A CN 201010618100 A CN201010618100 A CN 201010618100A CN 102541933 A CN102541933 A CN 102541933A
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Abstract
The invention discloses a method for tracking a forum character on the basis of a concept lattice. The method comprises the following steps of: on the premise of existing data and established keywords, generating the concept lattice by a concept lattice batch generation algorithm to obtain a form concept; and according to the form concept, distinguishing the type of the forum character or a specific character so as to achieve the effect of tracking the character.
Description
Technical field
The present invention relates to search engine technique, the method that particularly a kind of personage follows the tracks of.
Background technology
Along with the arrival in Web2.0 epoch, internet exchange is grown up very fast, and Web Community's culture forms, and internet exchange has become the requisite exchange way of netizen of new generation.Various online communation community emerges in an endless stream, like Baidu's mhkc, and ends of the earth community, each forum of big colleges and universities etc. make netizen's internet exchange more unobstructed, but this causes great difficulty for the public feelings information management and control.
Prior art has only the filtration of search engine for sensitive information at present, is not deep into the degree that the personage follows the tracks of.
Summary of the invention
Key in technical field herein and describe paragraph.The method that a kind of personage of forum that the embodiment of the invention provides follows the tracks of is in order to solve the problem that the personage of forum follows the tracks of.
Batch generating algorithm through concept lattice generates concept lattice through the batch processing generating algorithm under the prerequisite of set key word, draw formal notion, and distinguishes the personage of forum according to formal notion, to reach personage's tracking effect.Use the concept lattice formalized model, have knowledge characteristic in the complete expression database, and the knowledge representation form is clear, be easy to find the solution.
The embodiment of the invention can draw the personage and sort out after drawing formal notion, expands to add IP address and other analyses again, follows the tracks of forum user, and sensitive users is implemented particular concern, reaches the management and control effect.
Description of drawings
The schematic flow sheet that Fig. 1 provides for the embodiment of the invention;
The batch algorithms process flow diagram that Fig. 2 provides for the embodiment of the invention.
Claims (6)
1. forum's person tracking method based on concept lattice is characterized in that this method comprises:
Under the data with existing prerequisite, batch generating algorithm through concept lattice generates concept lattice under the prerequisite of set key word, draw formal notion, and distinguishes the personage of forum classification or concrete personage according to formal notion, to reach personage's tracking effect.
2. the method for claim 1 is characterized in that, the method for batch production algorithm of said concept lattice specifically comprises:
For form background K=(G, M, I), initialization lattice L={ (G), f (G) }.
3. method as claimed in claim 2 is characterized in that, the method that produces sub-notion specifically comprises:
Formation F={ (G, f (G)) }, for a notion C among the formation F, produce its each sub-notion Cc, if certain sub-notion Cc did not produce in the past, then join among the L.
4. method as claimed in claim 3 is characterized in that, the method that increases linking relationship specifically comprises:
Increase the linking relationship of notion C and its sub-notion Cc.
5. like claim 3 and 4 described methods, it is characterized in that, according to claim 3 and 4, is empty up to formation P.
6. method as claimed in claim 2 is exported concept lattice L at last, obtains formal notion.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010106181002A CN102541933A (en) | 2010-12-31 | 2010-12-31 | Method for tracking forum character on basis of concept lattice |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010106181002A CN102541933A (en) | 2010-12-31 | 2010-12-31 | Method for tracking forum character on basis of concept lattice |
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| CN102541933A true CN102541933A (en) | 2012-07-04 |
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| CN2010106181002A Pending CN102541933A (en) | 2010-12-31 | 2010-12-31 | Method for tracking forum character on basis of concept lattice |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103226555A (en) * | 2012-12-21 | 2013-07-31 | 北京邮电大学 | Improved forum figure tracking method based on concept lattice |
| CN103853938A (en) * | 2013-11-27 | 2014-06-11 | 上海丰核信息科技有限公司 | High-throughput sequencing data processing and analysis flow control method |
| CN105678382A (en) * | 2015-12-29 | 2016-06-15 | 惠州Tcl移动通信有限公司 | Concept lattice merging method and system based on sub-form background attribute similarity |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101393563A (en) * | 2008-09-26 | 2009-03-25 | 复旦大学 | Web data processing method based on form concept analysis |
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2010
- 2010-12-31 CN CN2010106181002A patent/CN102541933A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101393563A (en) * | 2008-09-26 | 2009-03-25 | 复旦大学 | Web data processing method based on form concept analysis |
Non-Patent Citations (1)
| Title |
|---|
| 滕广青等: "基于概念格的数字图书馆用户市场细分", 《数字图书馆》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103226555A (en) * | 2012-12-21 | 2013-07-31 | 北京邮电大学 | Improved forum figure tracking method based on concept lattice |
| CN103853938A (en) * | 2013-11-27 | 2014-06-11 | 上海丰核信息科技有限公司 | High-throughput sequencing data processing and analysis flow control method |
| CN103853938B (en) * | 2013-11-27 | 2017-09-15 | 上海尔云信息科技有限公司 | A kind of high-flux sequence data processing and inversion flow control method |
| CN105678382A (en) * | 2015-12-29 | 2016-06-15 | 惠州Tcl移动通信有限公司 | Concept lattice merging method and system based on sub-form background attribute similarity |
| CN105678382B (en) * | 2015-12-29 | 2018-05-08 | 惠州Tcl移动通信有限公司 | A kind of concept lattice merging method and system based on sub- Formal Context attributes similarity |
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Application publication date: 20120704 |