Review paper
Attention based hierarchical LSTM network for context-aware microblog sentiment classification
Abstract
Analyzing sentiment polarities of microblog has become a hot research topic for both academic and industrial communities. Most of the existing algorithms regard each microblog as an independent training instance. However, the sentiments embedded in short tweets are usually ambiguous and context-aware. Even a non-sentiment word might convey a clear emotional tendency in certain microblog conversations. In this paper, we regard the microblog...
Paper Details
Title
Attention based hierarchical LSTM network for context-aware microblog sentiment classification
Published Date
Jan 29, 2018
Journal
Volume
22
Issue
1
Pages
59 - 81
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