Creating annotated resources for polarity classification in Czech.
作者： Jan Hajic , Jana Sindlerová , Katerina Veselovská
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摘要: This paper presents the first steps towards reliable polarity classification based on Czech data. We describe a method for annotating evaluative structures and build standard unigram-based Naive Bayes classifier three different types of annotated texts. Furthermore, we analyze existing results both manual automatic annotation, some which are promising close to state-of-the-art performance, see Cui (2006).
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