Name
Abstract | ||
|---|---|---|
•Person-issue-keyword relationships models the sentiment of a person on an issue.•On this signed 3-partite graph a new strong co-clustering problem is defined.•A novel algorithm has been proposed and compared with spectral clustering method.•Experiments are done on real-life data using twits of UK politicians on Brexit.•Scalability of the new algorithm has been shown through syntactic data. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2018.01.043 | Expert Systems with Applications |
Keywords | Field | DocType |
Social network analysis,Co-clustering,Hypergraph,3 partite graph,Sentiment analysis | Data mining,Internet privacy,Brexit,Social network,Terminology,Sentiment analysis,Computer science,Social network analysis,Biclustering,Referendum,Politics | Journal |
Volume | Issue | ISSN |
100 | C | 0957-4174 |
Citations | PageRank | References |
2 | 0.35 | 20 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sefa Sahin Koc | 1 | 2 | 0.35 |
| Mert Ozer | 2 | 44 | 5.85 |
| Ismail Hakki Toroslu | 3 | 456 | 102.80 |
| Hasan Davulcu | 4 | 584 | 86.85 |
| Jeremy D. Jordan | 5 | 3 | 1.42 |