Academic Paper |
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| Title: | A hierarchical approach to mood classification in blogs |
| Author: | Fazel Keshtkar |
| Institution: | University of Ottawa |
| Author: | Diana Inkpen |
| Institution: | University of Ottawa |
| Linguistic Field: | Computational Linguistics; Text/Corpus Linguistics |
| Abstract: | In this article, 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 data set to train and evaluate our method. We present extensive error analysis and discuss the difficulty of the task. |
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This article appears in Natural Language Engineering Vol. 18, Issue 1, which you can read on Cambridge's site . |
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