Name
Abstract | ||
|---|---|---|
Retweeting is the core mechanism of information diffusion on Twitter, few studies have investigated the subjective motivation of a user to retweet a message. In this paper, in light of psychological theory, we assume that a tweet is more likely to be retweeted by a user because of similar subjectivity and propose a subjectivity model to combine both the topics and opinions to model subjectivity. With state-of-the-art topic model and sentiment analysis techniques, we establish subjectivity model by finding topics and determining opinions toward these topics from user-generated content simultaneously. We evaluate our model in the retweeting analysis problem to verify its impact on retweeting and effectiveness in the retweeting prediction performance. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/s12559-014-9293-9 | Cognitive Computation |
Keywords | Field | DocType |
Twitter,Subjectivity,Retweeting behavior,LDA,Sentiment analysis | Data science,Sentiment analysis,Computer science,Cognitive science,Subjectivity,Artificial intelligence,Topic model,Psychological Theory,Machine learning | Journal |
Volume | Issue | ISSN |
7 | 2 | 1866-9956 |
Citations | PageRank | References |
2 | 0.40 | 35 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Songxian Xie | 1 | 6 | 1.46 |
| Jintao Tang | 2 | 89 | 14.00 |
| Ting Wang | 3 | 36 | 9.43 |