A novel centroid based sentence classification approach for extractive summarization of COVID-19 news reports-Reference-Cited by-同舟云学术

A novel centroid based sentence classification approach for extractive summarization of COVID-19 news reports

Published:2023-03-24 Issue:4 Volume:15 Page:1789-1801
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Banerjee Sumanta^ORCID,Mukherjee Shyamapada,Bandyopadhyay Sivaji

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s41870-023-01221-x.pdf

Reference56 articles.

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3. El-Kassas WS, Salama CR, Rafea AA, Mohamed HK (2021) Automatic text summarization: A comprehensive survey. Expert Syst Appl 165:113679

4. Yadav AK, Singh A, Dhiman M, Kaundal R, Verma A, Yadav D, et al (2022) Extractive text summarization using deep learning approach. Int J Inform Technol 14(5):1–9

5. Gambhir M, Gupta V (2017) Recent Automatic Text Summarization Techniques: A Survey. Artif Intell Rev 47(1):1–66

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