Paper: NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews

ACL ID S14-2076
Title NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

Reviews depict sentiments of customers towards various aspects of a product or service. Some of these aspects can be grouped into coarser aspect categories. SemEval-2014 had a shared task (Task 4) on aspect-level sentiment analysis, with over 30 teams participated. In this pa- per, we describe our submissions, which stood first in detecting aspect categories, first in detecting sentiment towards aspect categories, third in detecting aspect terms, and first and second in detecting senti- ment towards aspect terms in the laptop and restaurant domains, respectively.