Paper: iTac: Aspect Based Sentiment Analysis using Sentiment Trees and Dictionaries

ACL ID S14-2059
Title iTac: Aspect Based Sentiment Analysis using Sentiment Trees and Dictionaries
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

This paper describes our approach for the fourth task of the SemEval 2014 challenge: Aspect Based Sentiment Analysis. Our sys- tem is designed to solve all four subtasks: (i) identifying aspect terms, (ii) determin- ing the polarity of an aspect term, (iii) de- tecting aspect categories, and (iv) determin- ing the polarity of a predefined aspect cate- gory. Our system is based on the Stanford sentiment tree.