Sentiment analysis using TF–IDF weighting of UK MPs’ tweets on Brexit

作者：

Highlights：

• Using sentiment analyses instead of typological methods with human classifiers.

• Sentiment analysis of multi-party political systems instead of a two-party system.

• Identifying systematic, specific, and subtle difference in the ways MPs use language.

摘要

•Using sentiment analyses instead of typological methods with human classifiers.•Sentiment analysis of multi-party political systems instead of a two-party system.•Identifying systematic, specific, and subtle difference in the ways MPs use language.

论文关键词：Brexit Quotient (BQ),Lexical analysis,Unigram,Bigram,TF–IDF,Members of Parliament (MPs)

论文评审过程：Received 22 December 2020, Revised 24 April 2021, Accepted 15 June 2021, Available online 17 June 2021, Version of Record 29 June 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107238