A High Precision Method for Aspect Extraction in Russian.
This paper presents a work carried out by ISPRAS on aspect extraction task at SentiRuEval 2015. Our team submitted one run for Task A and Task B and got best precision for both tasks for all domains among all participants. Our method also showed the best F1-measure for exact aspect term matching for task A for automobile domain and both for Task A and Task B for restaurant domain. The method is based on sequential classification of tokens with SVM. It uses local, global, syntactic-based, GloVe, topic modeling and automatic term recognition features. In this paper we also present evaluation of significance of different feature groups for the task.Full text of the paper in pdf
Computational Linguistics and Intellectual Technologies (Proceedings of the Annual International Conference “Dialogue”). Issue 14(21). Volume 2. 2015. pp. 34-43.