Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/41478
Title: Sense sentiment similarity: An analysis
Authors: Mohtarami, M.
Amiri, H.
Lan, M.
Tran, T.P.
Tan, C.L. 
Issue Date: 2012
Source: Mohtarami, M.,Amiri, H.,Lan, M.,Tran, T.P.,Tan, C.L. (2012). Sense sentiment similarity: An analysis. Proceedings of the National Conference on Artificial Intelligence 2 : 1706-1712. ScholarBank@NUS Repository.
Abstract: 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. Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved.
Source Title: Proceedings of the National Conference on Artificial Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/41478
ISBN: 9781577355687
Appears in Collections:Staff Publications

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