Paper: teragram: Rule-based detection of sentiment phrases using SAS Sentiment Analysis

ACL ID S13-2085
Title teragram: Rule-based detection of sentiment phrases using SAS Sentiment Analysis
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

For SemEval-2013 Task 2, A and B (Sen- timent Analysis in Twitter), we use a rule- based pattern matching system that is based on an existing ?Domain Independent? sentiment taxonomy for English, essentially a highly phrasal sentiment lexicon. We have made some modifications to our set of rules, based on what we found in the annotated training data that was made available for the task. The resulting system scores competitively, espe- cially on task B.