Twitter data for predicting election results

Insights from emotion classification

Research output: Contribution to journalArticle

Abstract

The advent of social media and microblogging sites has paved the way for individuals and communities to freely express their opinions, feelings, and thoughts on a variety of topics in the form of short and limited size texts such as tweets. These tweets can hold a wealth of information on how individuals communicate their thoughts, emotions (happiness, anxiety, depression, etc.) and feelings within their social network [1].

Original languageEnglish (US)
Article number8664560
Pages (from-to)58-63
Number of pages6
JournalIEEE Technology and Society Magazine
Volume38
Issue number1
DOIs
StatePublished - Mar 1 2019

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election result
twitter
emotion
happiness
social media
social network
anxiety
community

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Social Sciences(all)

Cite this

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author = "Srinivasan, {Satish Mahade Van} and Sangwan, {Raghvinder S.} and Colin Neill and Tianhai Zu",
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