Skip to main content
Book Chapter

Emotion-Corpus Guided Lexicons for Sentiment Analysis on Twitter

  • Bandhakavi A
  • Wiratunga N
  • Massie S
  • et al.
Springer International Publishing, (2016), 71-85
DOI: 10.1007/978-3-319-47175-4_5
N/ACitations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

S2 TL;DR: Two different methods are proposed which harness an emotion-labelled corpus of tweets to learn word-level numerical quantification of sentiment strengths over a positive to negative spectrum, and lead to a significantly better performance in both sentiment classification and sentiment intensity prediction tasks.

Cite

CITATION STYLE

APA

Bandhakavi, A., Wiratunga, N., Massie, S., & Deepak, P. (2016). Emotion-Corpus Guided Lexicons for Sentiment Analysis on Twitter. In Research and Development in Intelligent Systems XXXIII (pp. 71–85). Springer International Publishing. https://doi.org/10.1007/978-3-319-47175-4_5

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free