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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.

GTI at SemEval-2016 Task 5: SVM and CRF for Aspect Detection and Unsupervised Aspect-Based Sentiment Analysis