Enthusiasm And Support: Alternative Sentiment Classification For Social Movements On Social Media
Author(s)
Mishra, Shubhanshu
Agarwal, Sneha
Guo, Jinlong
Phelps, Kirstin
Picco, Johna
Diesner, Jana
Issue Date
2014-06
Keyword(s)
Sentiment Analysis
Social Network Analysis
Abstract
We present a novel sentiment classifier particularly designed for modeling and analyzing social movements; capturing levels of support (supportive versus non-supportive) and degrees of enthusiasm (enthusiastic versus passive). The resulting computational solution can help organizations involved with social causes to disseminate messages in a more informed and effective fashion; potentially leading to greater impact. Our findings suggest that enthusiastic and supportive tweets are more prevalent in tweets about social causes than other types of tweets on Twitter.
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