Fake Comment Detection Based on Sentiment Analysis

TL;DR

This paper proposes a method for detecting fake comments on e-commerce platforms using sentiment analysis, aiming to improve the accuracy of identifying untruthful reviews that can mislead consumers.

Contribution

It introduces a sentiment analysis-based approach specifically designed to identify fake comments, addressing the challenge of low human detection accuracy.

Findings

Effective detection of fake comments demonstrated

Sentiment analysis improves fake comment identification accuracy

Method outperforms baseline approaches

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.