Aspect-Based Sentiment Classification Using Interactive Gated Convolutional Network

Aspect-Based Sentiment Classification Using Interactive Gated Convolutional Network

Aspect-based sentiment classification aims to detect the sentiment polarity of a target in a given context. Most previous approaches use long short-term memory (LSTM) and attention mechanisms to predict the sentiment polarity of targets, which are usually complex and need more training time. Some pr...

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Bibliographic Details
Main Authors: Avinash Kumar, Vishnu Teja Narapareddy, Veerubhotla Aditya Srikanth, Lalita Bhanu Murthy Neti, Aruna Malapati
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Aspect-based sentiment analysis
deep neural network
gating mechanism
convolution neural network
word embedding
Online Access:https://ieeexplore.ieee.org/document/8972363/

Internet

https://ieeexplore.ieee.org/document/8972363/

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