A Novel Approach to Text Summarisation Using Topic Modelling and Noun Phrase Extraction-Reference-Cited by-同舟云学术

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A Novel Approach to Text Summarisation Using Topic Modelling and Noun Phrase Extraction

Published:2021 Issue: Volume: Page:285-298
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Lal Nikhil M.,Krishnanunni S.,Vijayakumar Vishnu,Vaishnavi N.,Siji Rani S.,Deepa Raj K.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-33-6987-0_24

Reference29 articles.

1. El-Kassas, W.S., Salama, C.R., Rafea, A.A., Mohamed, H.K.: Automatic text summarization: a comprehensive survey. Expert Syst. Appl. 113679 (2020)

2. Deepa Raj K., Sajeev, G.P.: A community based web summarization in near linear time. In: 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 962–968 (2018)

3. Naveen, G.K.R.: Query-based multi-document summarization by clustering of documents (2014)

4. Christian, H., Agus, M.P., Suhartono, D.: Single document automatic text summarization using TF-IDF. ComTech: Comput. Math. Eng. Appl. 7(4), 285–294 (2016)

5. Nallapati, R., Zhou, B., Gulcehre, C., Xiang, B., et al.: Abstractive text summarization using sequence-to-sequence RNNs and beyond. arXiv preprint arXiv:1602.06023 (2016)

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