Using information retrieval for sentiment polarity prediction

作者：

Highlights：

• We propose a method for polarity prediction of Tweets.

• The novelty lies on the proposed features.

• Features are derived from the ranking generated by an Information Retrieval System.

• Results comparable to the state-of-the-art can be achieved with only 24 features.

摘要

•We propose a method for polarity prediction of Tweets.•The novelty lies on the proposed features.•Features are derived from the ranking generated by an Information Retrieval System.•Results comparable to the state-of-the-art can be achieved with only 24 features.

论文关键词：Sentiment analysis,Opinion mining,Information retrieval,Polarity classification,Twitter

论文评审过程：Received 18 January 2016, Revised 18 May 2016, Accepted 25 May 2016, Available online 30 May 2016, Version of Record 7 June 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.05.038