Topic-specific sentiment analysis can help identify political ideology

Sumit Bhatia, Deepak Padmanabhan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Ideological leanings of an individual can often be gauged by the sentiment one expresses about different issues. We propose a simple framework that represents a political ideology as a distribution of sentiment polarities towards a set of topics. This representation can then be used to detect ideological leanings of documents (speeches, news articles, etc.) based on the sentiments expressed towards different topics. Experiments performed using a widely used dataset show the promise of our proposed approach that achieves comparable performance to other methods despite being much simpler and more interpretable.
Original languageEnglish
Title of host publicationProceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
Pages79-84
Publication statusPublished - 31 Oct 2018
EventWorkshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis - Brussels, Belgium
Duration: 01 Nov 2018 → …
https://wt-public.emm4u.eu/wassa2018/

Workshop

WorkshopWorkshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
Abbreviated titleWASSA 2018
CountryBelgium
CityBrussels
Period01/11/2018 → …
Internet address

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    Bhatia, S., & Padmanabhan, D. (2018). Topic-specific sentiment analysis can help identify political ideology. In Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (pp. 79-84) http://aclweb.org/anthology/W18-6212