ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews
Zhihua Zhang, Man Lan · 2015
This paper describes our systems submitted to the target-dependent sentiment polarity clas-sification subtask in aspect based sentimen-t analysis (ABSA) task (i.e., Task 12) in Se-mEval 2015. To settle this problem, we ex-tracted several effective features from three se-quential sentences, including sentiment lexi-con, linguistic and domain specific features. Then we employed these features to con-struct classifiers using supervised classifica-tion algorithm. In laptop domain, our systems ranked 2nd out of 6 constrained submissions and 2nd out of 7 unconstrained submissions. In restaurant domain, the rankings are 5th out of 6 and 2nd out of 8 respectively. 1