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2012

Sense Sentiment Similarity: An Analysis

12 years 2 months ago
Sense Sentiment Similarity: An Analysis
This paper describes an emotion-based approach to acquire sentiment similarity of word pairs with respect to their senses. Sentiment similarity indicates the similarity between two words from their underlying sentiments. Our approach is built on a model which maps from senses of words to vectors of twelve basic emotions. The emotional vectors are used to measure the sentiment similarity of word pairs. We show the utility of measuring sentiment similarity in two main natural language processing tasks, namely, indirect yes/no question answer pairs (IQAP) Inference and sentiment orientation (SO) prediction. Extensive experiments demonstrate that our approach can effectively capture the sentiment similarity of word pairs and utilize this information to address the above mentioned tasks.
Mitra Mohtarami, Hadi Amiri, Man Lan, Thanh Phu Tr
Added 29 Sep 2012
Updated 29 Sep 2012
Type Journal
Year 2012
Where AAAI
Authors Mitra Mohtarami, Hadi Amiri, Man Lan, Thanh Phu Tran, Chew Lim Tan
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