Interactive Attention-Based Convolutional GRU for Aspect Level Sentiment Analysis

Interactive Attention-Based Convolutional GRU for Aspect Level Sentiment Analysis

Abstract Aspect level sentiment analysis aims at identifying sentiment polarity towards specific aspect terms in a given sentence. Most methods based on deep learning integrate Recurrent Neural Network (RNN) and its variants with the attention mechanism to model the influence of different context wo...

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Bibliographic Details
Main Authors: Lisha Chen, Tianrui Li, Huaishao Luo, Chengfeng Yin
Format: Article
Language:English
Published: Springer Nature 2021-07-01
Series:Human-Centric Intelligent Systems
Subjects:
Sentiment classification
convolutional neural network
gated recurrent units
attention mechanism
Online Access:https://doi.org/10.2991/hcis.k.210704.002

Internet

https://doi.org/10.2991/hcis.k.210704.002

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