Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics
This paper tackles the problem of automatically labelling sentiment-bearing topics with descriptive sentence labels. We propose two approaches to the problem, one extractive and the other abstractive. Both approaches rely on a novel mechanism to automatically learn the relevance of each sentence in...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Higher Education Press and Springer-Verlag GmbH Germany
2019
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/26643/1/Mohamad%20Hardyman.pdf http://ir.unimas.my/id/eprint/26643/ https://www.springer.com/computer/journal/11704 |
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