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A social-event based approach to sentiment analysis of identities and behaviors in text.

Authors :
Joseph, Kenneth
Wei, Wei
Benigni, Matthew
Carley, Kathleen M.
Source :
Journal of Mathematical Sociology. 2016, Vol. 40 Issue 3, p137-166. 30p. 1 Diagram, 4 Charts, 4 Graphs.
Publication Year :
2016

Abstract

We describe a new methodology to infer sentiments held toward identities and behaviors from social events that we extract from a large corpus of newspaper text. Our approach draws on affect control theory, a mathematical model of how sentiment is encoded in social events and culturally shared views toward identities and behaviors. While most sentiment analysis approaches evaluate concepts on a single, evaluative dimension, our work extracts a three-dimensional sentiment "profile" for each concept. We can also infer when multiple sentiment profiles for a concept are likely to exist. We provide a case study of a large newspaper corpus on the Arab Spring, which helps to validate our approach. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0022250X
Volume :
40
Issue :
3
Database :
Academic Search Index
Journal :
Journal of Mathematical Sociology
Publication Type :
Academic Journal
Accession number :
118251790
Full Text :
https://doi.org/10.1080/0022250X.2016.1159206