A hybrid deep learning architecture for opinion-oriented multi-document summarization based on multi-feature fusion
Opinion summarization is a process to produce concise summaries from a large number of opinionated texts. In this paper, we present a novel deep-learning-based method for the generic opinion-oriented extractive summarization of multi-documents (also known as RDLS). The method comprises sentiment ana...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/95605/1/ShafaatunnurHasan2021_AHybridDeepLearningArchitecture.pdf http://eprints.utm.my/id/eprint/95605/ http://dx.doi.org/10.1016/j.knosys.2020.106658 |
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