Publication at Faculty of Mathematics and Physics |
2012
Abstract
This paper presents the first steps towards reliable polarity classification based on Czech data. We describe a method for annotating Czech evaluative structures and build a standard unigram-based Naive Bayes classifier on three different types of annotated texts.
Furthermore, we analyze existing results for both manual and automatic annotation, some of which are promising and close to the state-of-the-art performance, see Cui(2006).