Topic-specific sentiment analysis can help identify political ideology

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    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.

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    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

    ID: 158831813