Paper: XRCE: Hybrid Classification for Aspect-based Sentiment Analysis

ACL ID S14-2149
Title XRCE: Hybrid Classification for Aspect-based Sentiment Analysis
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

In this paper, we present the system we have developed for the SemEval-2014 Task 4 dedicated to Aspect-Based Senti- ment Analysis. The system is based on a robust parser that provides information to feed different classifiers with linguis- tic features dedicated to aspect categories and aspect categories polarity classifica- tion. We mainly present the work which has been done on the restaurant domain 1 for the four subtasks, aspect term and cat- egory detection and aspect term and cate- gory polarity.