Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

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Comparing the Analytical Algorithms for Unsupervised e-News Summarization Using Machine Learning Tactics

Authors
Apurva D. Dhawale1, *, Sonali B. Kulkarni1, Vaishali M. Kumbhakarna1
1Department of CS & IT, Dr. B. A. M. University, Aurangabad, Maharashtra, India
*Corresponding author. Email: addhawale@gmail.com
Corresponding Author
Apurva D. Dhawale
Available Online 1 May 2023.
DOI
10.2991/978-94-6463-136-4_15How to use a DOI?
Keywords
ROUGE; TextRank algorithm; Gensim; indic; iNLTK; Marathi
Abstract

The Text mining domain is acquiring importance and is used everywhere as the electronic documents are flooding the internet now a days. One of the significant e-content used by the students giving competitive exams is Marathi e-news articles which can be summarized in an extractive way without changing its meaning. We are trying to develop a system which will help students to extract current information from e-news in a reduced amount of amount of time. The comparison of the two recent and advanced methods is achieved for accentuating on the better one. The extractive summarization is performed using 3 different methods of TextRank algorithm i.e., by using summarize function, by using ratio and by using wordcount. This paper emphases on the analysis of results we got from TextRank algorithm using Gensim Framework with ROUGE method.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
Series
Advances in Computer Science Research
Publication Date
1 May 2023
ISBN
978-94-6463-136-4
ISSN
2352-538X
DOI
10.2991/978-94-6463-136-4_15How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Apurva D. Dhawale
AU  - Sonali B. Kulkarni
AU  - Vaishali M. Kumbhakarna
PY  - 2023
DA  - 2023/05/01
TI  - Comparing the Analytical Algorithms for Unsupervised e-News Summarization Using Machine Learning Tactics
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 141
EP  - 148
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_15
DO  - 10.2991/978-94-6463-136-4_15
ID  - Dhawale2023
ER  -