Abstract
Aspect-based sentiment analysis has always been a difficult task since it consists of several core sub-tasks: feature detection, opinion extraction and polarity classification. Consequently, by now there is little work to summarize all of these works together. In this paper, we propose a brand new holistic system, which can deal with all the problems above simultaneously using aspect-based positive center similarity(ABPCS) model. We experiment our system on clothes and hotel domain, and the result shows considerable improvements over state-of-the-art baselines.
Type
Publication
2017 International Joint Conference on Neural Networks