Fake Comment Detection Based on Sentiment Analysis
October 09, 2018 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Su Chang, Xu Zhenzhong, Gao Xuan
arXiv ID
1811.05825
Category
cs.CL: Computation & Language
Cross-listed
cs.DL
Citations
4
Venue
arXiv.org
Last Checked
5 months ago
Abstract
With the development of the E-commerce and reviews website, the comment information is influencing people's life. More and more users share their consumption experience and evaluate the quality of commodity by comment. When people make a decision, they will refer these comments. The dependency of the comments make the fake comment appear. The fake comment is that for profit and other bad motivation, business fabricate untrue consumption experience and they preach or slander some products. The fake comment is easy to mislead users' opinion and decision. The accuracy of humans identifying fake comment is low. It's meaningful to detect fake comment using natural language processing technology for people getting true comment information. This paper uses the sentimental analysis to detect fake comment.
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