Title | ||
---|---|---|
Exploring user historical semantic and sentiment preference for microblog sentiment classification |
Abstract | ||
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•Involving user’s historical semantic and sentiment preferences into the loop of microblog sentiment analysis to alleviate the sparsity issue.•Proposing a unified model which consists of a micropost encoder to learn representative micropost representation, a user sentiment state encoder to capture user-specific historical emotion states, as well as a user semantic state encoder to capture user-specific historical semantic states.•Creating a new dataset with user’s contextual information by collecting data from Sina Weibo https://github.com/zhucqut/UHSE. |
Year | DOI | Venue |
---|---|---|
2021 | 10.1016/j.neucom.2021.08.089 | Neurocomputing |
Keywords | DocType | Volume |
Microblog analysis,Sentiment classification,User historical preference | Journal | 464 |
ISSN | Citations | PageRank |
0925-2312 | 0 | 0.34 |
References | Authors | |
0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiaofei Zhu | 1 | 1 | 2.37 |
Jie Wu | 2 | 0 | 0.34 |
Ling Zhu | 3 | 0 | 0.68 |
Jiafeng Guo | 4 | 1737 | 102.17 |
Ran Yu | 5 | 0 | 0.34 |
Katarina Boland | 6 | 0 | 0.34 |
Stefan Dietze | 7 | 597 | 68.07 |