Fuzzy rule based unsupervised sentiment analysis from social media posts

作者：

Highlights：

• A fuzzy rule-based approach is proposed for sentiment analysis of tweets.

• Formulation of nine fuzzy rules to compute sentiment of each tweet.

• The proposed unsupervised approach is suitable for any sentiment lexicon.

• The approach can be adapted to both bipolar and tripolar sentiment analysis tasks.

摘要

•A fuzzy rule-based approach is proposed for sentiment analysis of tweets.•Formulation of nine fuzzy rules to compute sentiment of each tweet.•The proposed unsupervised approach is suitable for any sentiment lexicon.•The approach can be adapted to both bipolar and tripolar sentiment analysis tasks.

论文关键词：Social media,Twitter,Sentiment analysis,Fuzzy rule,Lexicon

论文评审过程：Received 26 February 2019, Revised 20 July 2019, Accepted 21 July 2019, Available online 22 July 2019, Version of Record 31 July 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112834