Self-Attention-Based BiLSTM Model for Short Text Fine-Grained Sentiment Classification

Fine-grained sentiment polarity classification for short texts has been an important and challenging task in natural language processing until these years. The short texts may contain multiple aspect-terms, opinion terms expressing different sentiments for different aspect-terms. The polarity of the...

Full description

Bibliographic Details
Main Authors: Jun Xie, Bo Chen, Xinglong Gu, Fengmei Liang, Xinying Xu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8922599/