Twitter sentiment analysis via bi-sense emoji embedding and attention-based LSTM
Clicks: 219
ID: 27792
2018
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Steady Performance
77.7
/100
219 views
175 readers
Trending
AI Quality Assessment
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| Reference Key |
chen2018twittermm
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|---|---|
| Authors | Chen, Y. |
| Journal | mm 2018 - proceedings of the 2018 acm multimedia conference |
| Year | 2018 |
| DOI | 10.1145/3240508.3240533 |
| URL | |
| Keywords | Keywords not found |
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