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Research Article

A Review- Machine Learning Techniques for Text Summarization

Sivakumar Nagarajan1
Technical Architect, I & I Software Inc, 2571 Baglyos Circle, Suite B-32, Bethlehem, PA-18020, USA.

Published Online: January-April 2024

Pages: 74-77

References

1. Fattah, M.A. A hybrid machine learning model for multi-document summarization. Appl. Intell. 2014, 40, 592–600.
2. Zhong, S.; Liu, Y.; Li, B.; Long, J. Queryoriented unsupervised multi-document summarization via deep learning model. Expert Syst.
Appl. 2015, 42, 8146–8155.
3. Yao, C.; Shen, J.; Chen, G. Automatic document summarization via deep neural networks. In Proceedings of the 2015 8th International
Symposium on Computational Intelligence and Design (ISCID), Hangzhou, China, 12–13 December 2015; Volume 1, pp. 291–296.
4. Singh, S.P.; Kumar, A.; Mangal, A.; Singhal, S. Bilingual automatic text summarization using unsupervised deep learning. In Proceedings
of the 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), Chennai, India, 3–5 March 2016;
pp. 1195–1200.
5. Yousefi-Azar, M.; Hamey, L. Text summarization using unsupervised deep learning. Expert Syst. Appl. 2017, 68, 93–105.
6. Chopade, H.A.; Narvekar, M. Hybrid auto text summarization using deep neural network and fuzzy logic system. In Proceedings of the
2017 International Conference on Inventive Computing and Informatics (ICICI), Coimbatore, India, 23–24 November 2017; pp. 52–56.
7. Shirwandkar, N.S.; Kulkarni, S. Extractive text summarization using deep learning. In Proceedings of the 2018 Fourth International
Conference on Computing Communication Control and Automation (ICCUBEA), Pune, India, 16–18 August 2018; pp. 1–5.

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