Twitter data for predicting election results: Insights from emotion classification

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


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
Issue number1
StatePublished - Mar 2019

All Science Journal Classification (ASJC) codes

  • General Engineering
  • General Social Sciences


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