GTI at SemEval 2016 Task 5: SVM and CRF for Aspect Detection and Unsupervised Aspect Based Sentiment Analysis
This paper describes in detail the approach carried out by the GTI research group for SemEval 2016 Task 5: Aspect Based Sentiment Analysis, for the different subtasks proposed, as well as languages and dataset contexts. In particular, we developed a system for category detection based on SVM. Then for the opinion target detection task we developed a system based on CRFs. Both are built for restaurants domain in English and Spanish languages. Finally for aspect based sentiment analysis we carried out an unsupervised approach based on lexicons and syntactic dependencies, in English language for laptops and restaurants domains.
*SEMEVAL