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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Bibliographic Details
Main Authors: Abdi, Asad, Hasan, Shafaatunnur, Shamsuddin, Siti Mariyam, Idris, Norisma, Piran, Jalil
Format: Article
Published: Elsevier 2021
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Online Access:http://eprints.um.edu.my/25976/
https://doi.org/10.1016/j.knosys.2020.106658
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