Publication at Faculty of Mathematics and Physics |
2015
Abstract
This work focuses on aspect-based sentiment analysis, a relatively recent task in natural language processing. We present a new dataset for Czech aspect-based sentiment analysis which consists of segments from user reviews of IT products.
We also describe our work in progress on the task of aspect term extraction. We believe that this area can be of interest to other workshop participants and that this paper can inspire a fruitful discussion on the topic with researchers from related fields.