Using sentiment orientation features for mood classification in blogs
作者： Fazel Keshtkar , Diana Inkpen
DOI: 10.1109/NLPKE.2009.5313734
关键词:
摘要: In this paper we explore the task of mood classification for blog postings. We propose a novel approach that uses hierarchy possible moods to achieve better results than standard machine learning approach. also show using sentiment orientation features improves performance classification. used Livejournal corpus as dataset train and evaluate our method.
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