Paper: Supervised Methods for Aspect-Based Sentiment Analysis

ACL ID S14-2104
Title Supervised Methods for Aspect-Based Sentiment Analysis
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

In this paper, we present our contribution in SemEval2014 ABSA task, some supervised methods for Aspect-Based Sentiment Analysis of restaurant and laptop reviews are proposed, im- plemented and evaluated. We focus on determin- ing the aspect terms existing in each sentence, finding out their polarities, detecting the catego- ries of the sentence and the polarity of each cate- gory. The evaluation results of our proposed methods exhibit a significant improvement in terms of accuracy and f-measure over all four subtasks regarding to the baseline proposed by SemEval organisers.