Paper: ÚFAL: Using Hand-crafted Rules in Aspect Based Sentiment Analysis on Parsed Data

ACL ID S14-2124
Title ÚFAL: Using Hand-crafted Rules in Aspect Based Sentiment Analysis on Parsed Data
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

This paper describes our submission to Se- mEval 2014 Task 4 1 (aspect based senti- ment analysis). The current work is based on the assumption that it could be advan- tageous to connect the subtasks into one workflow, not necessarily following their given order. We took part in all four sub- tasks (aspect term extraction, aspect term polarity, aspect category detection, aspect category polarity), using polarity items de- tection via various subjectivity lexicons and employing a rule-based system ap- plied on dependency data. To determine aspect categories, we simply look up their WordNet hypernyms. For such a basic method using no machine learning tech- niques, we consider the results rather sat- isfactory.