  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.
