Research Article
A Multilayer Naïve Bayes Model for Analyzing User’s Retweeting Sentiment Tendency
Table 2
Information gains of features.
| Types of features | Features | Information gains |
| Profile-based | #bifollowers | 0.254 | #followers | 0.231 | #followees | 0.257 | #posts | 0.201 | Province | 0.105 | City | 0.110 | Gender | 0.148 | Created time of user’s account | 0.092 | Verified type of user’s account | 0.102 |
| Relation-based | Dynamic Salton metrics | 0.485 | Dynamic interaction frequency | 0.503 |
| Emotion-based | #positive emotional words | 0.647 | #negative emotional words | 0.622 | Recent mood statistics | 0.694 | Emotion divergence | 0.723 |
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