TJUdeM: A Combination Classifier for Aspect Category Detection and Sentiment Polarity Classification

This paper describes the system we submitted to In-domain ABSA subtask of SemEval 2015 shared task on aspect-based sentiment analy-sis that includes aspect category detection and sentiment polarity classification. For the as-pect category detection, we combined an SVM classifier with implicit aspect indicators. For the sentiment polarity classification, we com-bined an SVM classifier with a lexicon-based polarity classifier. Our system outperforms the baselines on both the laptop and restaurant do-mains and ranks above average on the laptop domain.