Paper: USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis

ACL ID S13-2064
Title USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

This paper describes a dual-classifier ap- proach to contextual sentiment analysis at the SemEval-2013 Task 2. Contextual analysis of polarity focuses on a word or phrase, rather than the broader task of identifying the senti- ment of an entire text. The Task 2 definition includes target word spans that range in size from a single word to entire sentences. How- ever, the context of a single word is depen- dent on the word?s surrounding syntax, while a phrase contains most of the polarity within it- self. We thus describe separate treatment with two independent classifiers, outperforming the accuracy of a single classifier. Our system ranked 6th out of 19 teams on SMS message classification, and 8th of 23 on twitter data. We also show a surprising result that a very small amount of word con...