Publications
Authors:
  • Caroline Brun , Diana Popa
Citation:
SemEval, Dublin, Ireland, August 23-24, 2014
Abstract:
In this paper, we present the system we have developed for the SemEval2014 Task 4 dedicated to Aspect-Based Sentiment Analysis. The system is based on a robust parser that provides information to feed different classifiers with linguistic features dedicated to aspect categories and aspect categories polarity classification. We mainly present the work which has been done on the restaurant domain for the four subtask, aspect term and category detection and aspect term and category polarity.
Year:
2014
Report number:
2014/029
Attachments: