Leveraging Sentiment to Compute Word Similarity

arXiv: Information Retrieval, 2012.

Cited by: 2|Bibtex|Views8
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

In this paper, we introduce a new WordNet based similarity metric, SenSim, which incorporates sentiment content (i.e., degree of positive or negative sentiment) of the words being compared to measure the similarity between them. The proposed metric is based on the hypothesis that knowing the sentiment is beneficial in measuring the simi...More

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