METHOD AND APPARATUS FOR TAGGING A DOCUMENT

• US 20110209043A1
• Filed: 02/18/2011
• Published: 08/25/2011
• Est. Priority Date: 02/21/2010
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Guo, Zhi Li, Guo, HongLei, Zhang, Xiao Xun, Zhu, Hui Jia, Su, Zong
• Granted Patent: US 9,251,132 B2
• Time in Patent Office: Days
• US Class Current: 715/230
• CPC Class Codes: G06F 40/20 Natural language analysis semantic analysis of natural language G06F40/30
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

A document tagging method and apparatus. According to the method, a focused entity relevant to a basic document and a sentiment polarity of comments on the focused entity are acquired, and then a tag is generated on the basic document from the focused entity and the corresponding sentiment polarity. The present invention can tag the basic document with an opinion on the relevant focused entity and thus facilitate knowledge of the opinion on a relevant entity.

Claims

12. A document tagging apparatus, comprising:

focused entity acquisition means configured to acquire a focused entity relevant to a basic document;

sentiment polarity acquisition means configured to acquire a sentiment polarity of comments on said focused entity; and

tag generation means configured to generate a tag on said basic document from said focused entity and said corresponding sentiment polarity.

1. A method of tagging a document, comprising:

acquiring a focused entity relevant to a basic document;

acquiring a sentiment polarity of comments on said focused entity; and

generating a tag on said basic document from said focused entity and said corresponding sentiment polarity.

2. The method according to claim 1, wherein said focused entity is a subject of interest relevant to said basic document.

3. The method according to claim 1, wherein said tag comprises an identifier of said focused entity and statistic data of said sentiment polarity.

4. The method according to claim 3, wherein said tag further comprises comment contents relevant to each said sentiment polarity.

5. The method according to claim 3, further comprising:

acquiring a summary of comment contents relevant to each said sentiment polarity, wherein said tag further comprises a summary of the comment contents.

6. The method according to claim 3, wherein said focused entity is a combination of a plurality of sub-focused entities.

7. The method according to claim 1, wherein said step of acquiring the focused entity relevant to the basic document further comprising:

acquiring a relevant document relevant to said basic document; and

acquiring said focused entities in said basic document and said relevant document.

8. The method according to claim 7, wherein said tag is a tag selected from the group consisting of a source of said focused entity, a source of said summary of comment contents, and a combination thereof.

9. The method according to claim 8, wherein said source is in the form of a link.

10. The method according to claim 7, wherein said step of acquiring said relevant document relevant to said basic document further comprising:

acquiring said relevant document using a link relationship between said basic documents.

11. The method according to claim 7, wherein said step of acquiring said relevant document relevant to said basic document further comprising:

acquiring said focused entity in said basic document; and

acquiring said relevant document from said focused entity.

13. The apparatus according to claim 12, wherein said sentiment polarity acquisition means is further configured to acquire statistic data of said sentiment polarity on said focused entity, and said tag comprises an identifier of said focused entity and said statistic data of said sentiment polarity.

14. The apparatus according to claim 13, wherein said tag further comprises comment contents relevant to each said sentiment polarity.

15. The apparatus according to claim 13, further comprising:

summary acquisition means configured to acquire a summary of comment contents relevant to each said sentiment polarity, wherein said tag further comprises said summary of the comment contents.

16. The apparatus according to claim 13, wherein said focused entity acquisition means is configured to combine a plurality of sub-focused entities into said focused entity.

17. The apparatus according to claim 16, wherein said tag wherein said tag is a tag selected from the group consisting of a source of said focused entity, a source of said summary of comment contents, and a combination thereof.

18. The apparatus according to claim 17, wherein said source of said focused entity is in the form of a link.

19. The apparatus according to claim 16, wherein said relevant document acquisition means is configured to acquire said relevant document using a link relationship between said basic documents.

20. The apparatus according to claim 16, wherein said relevant document acquisition means is configured to acquire as the relevant document another document relevant to said focused entity in said basic document acquired by said focused entity acquisition means based upon said focused entity in said basic document.

21. A computer readable article of manufacture tangibly embodying computer readable instructions which when executed causes a computer to carry out the steps of a method according to claim 1.

16-1. The apparatus according to claim 12, further comprising:

relevant acquisition means configured to acquire a relevant document to the basic document, wherein said focused entity acquisition means is configured to acquire said focused entities in said basic document and said relevant document.