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- W2166131245 abstract "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." @default.
- W2166131245 created "2016-06-24" @default.
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- W2166131245 date "2009-09-01" @default.
- W2166131245 modified "2023-09-27" @default.
- W2166131245 title "Using sentiment orientation features for mood classification in blogs" @default.
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- W2166131245 doi "https://doi.org/10.1109/nlpke.2009.5313734" @default.
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