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- W2898874928 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." @default.
- W2898874928 created "2018-11-09" @default.
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- W2898874928 date "2018-01-01" @default.
- W2898874928 modified "2023-10-16" @default.
- W2898874928 title "Topic-Specific Sentiment Analysis Can Help Identify Political Ideology" @default.
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- W2898874928 doi "https://doi.org/10.18653/v1/w18-6212" @default.
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