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.
|Title of host publication||Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis|
|Publication status||Published - 31 Oct 2018|
|Event||Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis - Brussels, Belgium|
Duration: 01 Nov 2018 → …
|Workshop||Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis|
|Abbreviated title||WASSA 2018|
|Period||01/11/2018 → …|