Sentiment Analysis of Chinese Microblog Based on Stacked Bidirectional LSTM

Sentiment Analysis of Chinese Microblog Based on Stacked Bidirectional LSTM

Sentiment analysis on Chinese microblogs has received extensive attention recently. Most previous studies focus on identifying sentiment orientation by encoding as many word properties as possible while they fail to consider contextual features (e.g., the long-range dependencies of words), which are...

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Bibliographic Details
Main Authors: Junhao Zhou, Yue Lu, Hong-Ning Dai, Hao Wang, Hong Xiao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Long short-term memory (LSTM)
stacked bi-directional LSTM
sentiment analysis
continuous bag-of-words
Chinese microblog
contextual features
Online Access:https://ieeexplore.ieee.org/document/8667413/

Internet

https://ieeexplore.ieee.org/document/8667413/

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