OPTWIMA: Comparing Knowledge-rich and Knowledge-poor Approaches for Sentiment Analysis in Short Informal Texts

Alexandra Balahur. OPTWIMA: Comparing Knowledge-rich and Knowledge-poor Approaches for Sentiment Analysis in Short Informal Texts. In Mona T. Diab, Timothy Baldwin, Marco Baroni, editors, Proceedings of the 7th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2013, Atlanta, Georgia, USA, June 14-15, 2013. pages 460-465, The Association for Computer Linguistics, 2013. [doi]

Abstract

Abstract is missing.