Name
Abstract | ||
|---|---|---|
Online forums have become a popular source of information due to the unique nature of information they contain. Internet users use these forums to get opinions of other people on issues and to find factual answers to specific questions. Topics discussed in online forum threads can be subjective seeking personal opinions or non-subjective seeking factual information. Hence, knowing subjectivity orientation of threads would help forum search engines to satisfy user's information needs more effectively by matching the subjectivities of user's query and topics discussed in the threads in addition to lexical match between the two. We study methods to analyze the subjectivity of online forum threads. Experimental results on a popular online forum demonstrate the effectiveness of our methods. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2396761.2398675 | CIKM |
Keywords | Field | DocType |
online forum thread,factual information,subjectivity orientation,popular source,internet user,popular online forum,online forum,factual answer,forum search engine,subjectivity | Data mining,World Wide Web,Information needs,Binary classification,Computer science,Online forum,Subjectivity,Thread (computing),The Internet | Conference |
Citations | PageRank | References |
12 | 0.56 | 27 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Prakhar Biyani | 1 | 101 | 7.55 |
| Cornelia Caragea | 2 | 520 | 53.61 |
| Amit Singh | 3 | 79 | 4.87 |
| Prasenjit Mitra | 4 | 2439 | 167.89 |