Lexicon-Enhanced LSTM With Attention for General Sentiment Analysis

Lexicon-Enhanced LSTM With Attention for General Sentiment Analysis

Long short-term memory networks (LSTMs) have gained good performance in sentiment analysis tasks. The general method is to use LSTMs to combine word embeddings for text representation. However, word embeddings carry more semantic information rather than sentiment information. Only using word embeddi...

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Bibliographic Details
Main Authors: Xianghua Fu, Jingying Yang, Jianqiang Li, Min Fang, Huihui Wang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Sentiment lexicon
sentiment embedding
word embedding
attention vector
sentiment analysis
Online Access:https://ieeexplore.ieee.org/document/8513826/

Internet

https://ieeexplore.ieee.org/document/8513826/

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