Experimental Evaluation and Approach of Enhancement in Generation of Automatic Unsupervised Extractive Text Summarization of Marathi Text By Using Machine Learning Algorithm-Reference-Cited by-同舟云学术

Experimental Evaluation and Approach of Enhancement in Generation of Automatic Unsupervised Extractive Text Summarization of Marathi Text By Using Machine Learning Algorithm

Published:2022-01-05 Issue: Volume: Page:26-31
ISSN:2788-7669
Container-title:Journal of Machine and Computing
language:en
Short-container-title:JMC

Author:

Dhawale Apurva D.¹,Kulkarni Sonali B.¹,Kumbhakarna Vaishali M.¹

Affiliation:

1. Dept. of Computer Science & IT, Dr. B. A. M. University, Aurangabad, India.

Abstract

The Text summarization has immense importance in the arena of Natural Language Processing. The summarization can be done in two ways: abstractive and extractive text summarization. Here, the language is a vast query, because we have large number of national and international languages. By studying the literature, the Marathi language is chosen for this work and we are trying to make a framework where all the students giving competent examinations can have summarized Marathi e-news articles by using extractive text summarization. For this objective we have used TextRank algorithm which has proven very effective for different languages. This paper demonstrates the summarization techniques on Marathi e-news articles using Gensim Library of TextRank algorithm and comparative analysis of summaries generated by using both TextRank and ROUGH method.

Publisher

Anapub Publications

Link

http://anapub.co.ke/journals/jmc/jmc_pdf/2022/volume_2-issue_1/JMC202202004.pdf

Reference12 articles.

1. Apurva D. Dhawale, Sonali B. Kulkarni, Vaishali M. Kumbhakarna, “Automatic Pre-Processing of Marathi Text for Summarization”, International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249-8958, Volume-10 Issue-1, October 2020.

2. Apurva D. Dhawale, Sonali B. Kulkarni, Vaishali M. Kumbhakarna, “Automatic Unsupervised Extractive Summarization of Marathi Text Using Natural Language Processing”, IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 22, Issue 6, Ser. II, PP 21-25, Nov. – Dec. 2020.

3. Dhawale A.D., Kulkarni S.B., Kumbhakarna V.M. (2021)” A Survey of Distinctive Prominence of Automatic Text Summarization Techniques Using Natural Language Processing”. In: Raj J.S. (eds) International Conference on Mobile Computing and Sustainable Informatics. ICMCSI 2020.

4. Divyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, Gokul N.C., Avik Bhattacharyya, Mitesh M. Khapra, Pratyush Kumar, “IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages”, Findings of the Association for Computational Linguistics: EMNLP 2020, pages 4948–4961. Association for Computational Linguistics, November 16 - 20, 2020.

5. Dhawale A.D., Kulkarni S.B., Kumbhakarna V.M., “Survey of Progressive Era of Text Summarization for Indian and Foreign Languages Using Natural Language Processing”, In: Raj J., Bashar A., Ramson S. (eds) Innovative Data Communication Technologies and Application. ICIDCA 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 46. Springer, Cham. https://github.com/chiragsanghvi/TextSummarizer