Combination of Recursive and Recurrent Neural Networks for Aspect-Based Sentiment Analysis Using Inter-Aspect Relations

Combination of Recursive and Recurrent Neural Networks for Aspect-Based Sentiment Analysis Using Inter-Aspect Relations

Sentiment analysis studies in the literature mostly use either recurrent or recursive neural network models. Recurrent models capture the effect of time and propagate the information of sentiment labels in a review throughout the word sequence. Recursive models, on the other hand, extract syntactic...

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Bibliographic Details
Main Authors: Cem Rifki Aydin, Tunga Gungor
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Aspect-based sentiment classification
ensemble neural network model
recurrent neural networks
recursive neural networks
sentiment analysis
Online Access:https://ieeexplore.ieee.org/document/9078752/

Internet

https://ieeexplore.ieee.org/document/9078752/

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