Paper: BUAP: Polarity Classification of Short Texts

ACL ID S14-2023
Title BUAP: Polarity Classification of Short Texts
Venue Joint Conference on Lexical and Computational Semantics
Year 2014

We report the results we obtained at the sub- task B (Message Polarity Classification) of Se- mEval 2014 Task 9. The features used for representing the messages were basically tri- grams of characters, trigrams of PoS and a number of words selected by means of a graph mining tool. Our approach performed slightly below the overall average, except when a cor- pus of tweets with sarcasm was evaluated, in which we performed quite well obtaining around 6% above the overall average.