期刊
ONLINE INFORMATION REVIEW
卷 42, 期 1, 页码 45-57出版社
EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/OIR-05-2017-0139
关键词
Social media; Sentiment analysis; Opinion mining; Online customer relations management
Purpose - The purpose of this paper is to test if there are biases in lexical sentiment analysis accuracy between reviews authored by males and females. Design/methodology/approach - This paper uses data sets of TripAdvisor reviews of hotels and restaurants in the UK written by UK residents to contrast the accuracy of lexical sentiment analysis for males and females. Findings - Male sentiment is harder to detect because it is less explicit. There was no evidence that this problem could be solved by gender-specific lexical sentiment analysis. Research limitations/implications - Only one lexical sentiment analysis algorithm was used. Practical implications - Care should be taken when drawing conclusions about gender differences from automatic sentiment analysis results. When comparing opinions for product aspects that appeal differently to men and women, female sentiments are likely to be overrepresented, biasing the results. Originality/value - This is the first evidence that lexical sentiment analysis is less able to detect the opinions of one gender than another.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据