Title
Exploring user historical semantic and sentiment preference for microblog sentiment classification
Abstract
•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 Zhu112.37
Jie Wu200.34
Ling Zhu300.68
Jiafeng Guo41737102.17
Ran Yu500.34
Katarina Boland600.34
Stefan Dietze759768.07