Using sentiment orientation features for mood classification in blogs

  title={Using sentiment orientation features for mood classification in blogs},
  author={Fazel Keshtkar and Diana Inkpen},
  journal={2009 International Conference on Natural Language Processing and Knowledge Engineering},
In this paper we explore the task of mood classification for blog postings. We propose a novel approach that uses the hierarchy of possible moods to achieve better results than a standard machine learning approach. We also show that using sentiment orientation features improves the performance of classification. We used the Livejournal blog corpus as a dataset to train and evaluate our method. 
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