articleIEEE AccessJan 1, 2020GOLD OA

Sentiment Analysis for E-Commerce Product Reviews in Chinese Based on Sentiment Lexicon and Deep Learning

LYLi YangYLYing LiJWJin WangRSR. Simon Sherratt

Changsha University of Science and Technology · Fujian University of Technology · +1 more institution

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Abstract

In recent years, with the rapid development of Internet technology, online shopping has become a mainstream way for users to purchase and consume. Sentiment analysis of a large number of user reviews on e-commerce platforms can effectively improve user satisfaction. This paper proposes a new sentiment analysis model-SLCABG, which is based on the sentiment lexicon and combines Convolutional Neural Network (CNN) and attention-based Bidirectional Gated Recurrent Unit (BiGRU). In terms of methods, the SLCABG model combines the advantages of sentiment lexicon and deep learning technology, and overcomes the shortcomings of existing sentiment analysis model of product reviews. The SLCABG model combines the advantages…

Citation impact

558
total citations
FWCI
44.75
Percentile
100%
References
68
Citations per year

Authors

4

Topics & keywords

Topics
Keywords
  • Sentiment analysis
  • Computer science
  • Lexicon
  • Artificial intelligence
  • Deep learning
  • Convolutional neural network
  • Natural language processing
  • Context (archaeology)
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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