Twitter sentiment analysis using hybrid cuckoo search method

作者：

Highlights：

• A hybrid cuckoo search method (CSK) has been presented for Twitter sentiment analysis.

• CSK modifies the random initialization of population in cuckoo search (CS) by K-means to resolve the problem of random initialization.

• The proposed algorithm has outperformed five popular algorithms.

• The statistical analysis has been done to validate the performance of the proposed algorithm.

摘要

•A hybrid cuckoo search method (CSK) has been presented for Twitter sentiment analysis.•CSK modifies the random initialization of population in cuckoo search (CS) by K-means to resolve the problem of random initialization.•The proposed algorithm has outperformed five popular algorithms.•The statistical analysis has been done to validate the performance of the proposed algorithm.

论文关键词：Sentiment analysis,Cuckoo search,Twitter,Data preprocessing,K-means

论文评审过程：Received 25 June 2016, Revised 25 January 2017, Accepted 1 February 2017, Available online 10 March 2017, Version of Record 10 March 2017.

论文官网地址：https://doi.org/10.1016/j.ipm.2017.02.004