Paper: UoM: Using Explicit Semantic Analysis for Classifying Sentiments

ACL ID S13-2089
Title UoM: Using Explicit Semantic Analysis for Classifying Sentiments
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

In this paper, we describe our system sub- mitted for the Sentiment Analysis task at Se- mEval 2013 (Task 2). We implemented a com- bination of Explicit Semantic Analysis (ESA) with Naive Bayes classifier. ESA represents text as a high dimensional vector of explicitly defined topics, following the distributional se- mantic model. This approach is novel in the sense that ESA has not been used for Senti- ment Analysis in the literature, to the best of our knowledge.