Sentiment Analysis Model Based on Self-Attention and Character-Level Embedding

Sentiment Analysis Model Based on Self-Attention and Character-Level Embedding

Aiming at the problem of insufficient sentiment word extraction ability in existing text sentiment analysis methods and OOV (out-of-vocabulary) problem of pre-training word vectors, a neural network model combining multi-head self-attention and character-level embedding is proposed. An encoder-decod...

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Bibliographic Details
Main Authors: Hongbin Xia, Chenhui Ding, Yuan Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Sentiment analysis
seq2seq
character-level
bidirectional long short-term memory
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/9217459/

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