AI-based Twitter framework for assessing the involvement of government schemes in electoral campaigns
作者：
Highlights：
• Most of the government scheme tweets are generally promotional and informational.
• Elections induce a high government scheme related tweet concentration.
• The government scheme tweet concentration reduces just after the voting phase.
• The type of information shared keeps changing as per the requirement.
• The ruling party has a high regulation on the government scheme related tweets.
摘要
•Most of the government scheme tweets are generally promotional and informational.•Elections induce a high government scheme related tweet concentration.•The government scheme tweet concentration reduces just after the voting phase.•The type of information shared keeps changing as per the requirement.•The ruling party has a high regulation on the government scheme related tweets.
论文关键词：Tweet classification,Tweet clustering,Sentiment analysis,Text augmentation,Geo-location analysis
论文评审过程：Received 15 December 2020, Revised 27 January 2022, Accepted 25 April 2022, Available online 13 May 2022, Version of Record 16 May 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.117338
