How Social Media Influencers Govern Sentiment Territory

Vala Ali Rohani, Shahid Shayaa and Ghazaleh Babanejaddehaki
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Vala Ali Rohani: Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia
Shahid Shayaa: Department of Data Analytics and Research, Berkshire Media, Petaling Jaya, Malaysia
Ghazaleh Babanejaddehaki: Faculty of Computer Science and Information Technology, University Putra Malaysia, Kuala Lumpur, Malaysia

International Journal of Applied Evolutionary Computation (IJAEC), 2017, vol. 8, issue 1, 49-60

Abstract: In present research, the authors examined how social media influencers affect the overall sentiment of a topic. To this end, they utilized supervised machine learning approach to develop SentiRobo for measuring the sentiment score of social media content. In the next stage, they studied social media datasets with 375,141 records in the education domain to investigate the correlation between social media topics and top authors' sentiment. The Pearson correlation test results revealed that top one percent of social media authors are enough to significantly influence the whole sentiment of each topic.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jaec00:v:8:y:2017:i:1:p:49-60

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