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Proximity-based sentiment analysis

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2 Author(s)
Hasan, S.M.S. ; Dept. of Comput. Sci., Virginia Tech, Blacksburg, VA, USA ; Adjeroh, D.A.

Sentiment analysis seeks to characterize opinionated or evaluative aspects of natural language text thus helping people to discover valuable information from large amounts of unstructured data [1]. In this paper we explore a new methodology for sentiment analysis called proximity-based sentiment analysis. We take a different approach, by considering a new set of features based on word proximities in a written text. We propose three proximity-based features, namely, proximity distribution, mutual information between proximity types, and proximity patterns. We applied this approach to the analysis of movie reviews. Our experimental results show that proximity-based sentiment analysis is able to extract sentiments from a specific domain, with performance comparable to the state-of-the-art. To the best of our knowledge, this is the first attempt at focusing on only proximity based features as the primary features in sentiment analysis.

Published in:

Applications of Digital Information and Web Technologies (ICADIWT), 2011 Fourth International Conference on the

Date of Conference:

4-6 Aug. 2011