Paper: SNAP: A Multi-Stage XML-Pipeline for Aspect Based Sentiment Analysis

ACL ID S14-2101
Title SNAP: A Multi-Stage XML-Pipeline for Aspect Based Sentiment Analysis
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

This paper describes the SNAP system, which participated in Task 4 of SemEval- 2014: Aspect Based Sentiment Analysis. We use an XML-based pipeline that com- bines several independent components to perform each subtask. Key resources used by the system are Bing Liu?s senti- ment lexicon, Stanford CoreNLP, RFTag- ger, several machine learning algorithms and WordNet. SNAP achieved satisfactory results in the evaluation, placing in the top half of the field for most subtasks.