Deep learning-based sentiment classification of evaluative text based on Multi-feature fusion

Volume: 56, Issue: 4, Pages: 1245 - 1259
Published: Jul 1, 2019
Abstract
Sentiment analysis concerns the study of opinions expressed in a text. Due to the huge amount of reviews, sentiment analysis plays a basic role to extract significant information and overall sentiment orientation of reviews. In this paper, we present a deep-learning-based method to classify a user's opinion expressed in reviews (called RNSA). To the best of our knowledge, a deep learning-based method in which a unified feature set which is...
Paper Details
Title
Deep learning-based sentiment classification of evaluative text based on Multi-feature fusion
Published Date
Jul 1, 2019
Volume
56
Issue
4
Pages
1245 - 1259
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