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Text Summarization and Classification for Indian Language

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2021
Manasi Chouk, Neelam Phadnis

Manasi Chouk and Neelam Phadnis. Text Summarization and Classification for Indian Language. International Journal of Computer Applications 183(15):1-5, July 2021. BibTeX

	author = {Manasi Chouk and Neelam Phadnis},
	title = {Text Summarization and Classification for Indian Language},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2021},
	volume = {183},
	number = {15},
	month = {Jul},
	year = {2021},
	issn = {0975-8887},
	pages = {1-5},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2021921471},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Over the last few years, there have been significant advances in Text Summarization. Text Summarization can be implemented using two approaches; one is the NLP based approach and another is Deep Learning approach. Text Summarization is a demanding and fascinating field of NLP. It has become important because of the tremendous increase in information and data. Text Summarization is technique of creating a specific and relevant short abstract of text using different ways like books, news articles, research papers, tweets etc. Research is being done to summarize large text documents which are difficult to summarize manually. For English and other foreign languages various automated text summarization systems are available. However very few techniques are available for Indian language such as Marathi. In this paper, two extractive techniques are proposed to summarize large Marathi texts. This paper also performs classification on Marathi text using Marathi headlines dataset.


  1. S. G. Sheetal Shimpikar, "A Survey of Text Summarization Techniques for Indian Regional Languages," International Journal of Computer Applications, vol. 165, pp. 29-33, May 2017.
  2. D. M. a. D. K. Virat V. Giri, "A Survey of Automatic Text Summarization System for Different Regional Language in India," Bonfring International Journal of Software Engineering and Soft Computing,, vol. 6, pp. 52-57, October 2016.
  3. S. B. K. V. M. K. Apurva D. Dhawale, "Automatic Preprocessing of Marathi Text for Summarization," International Journal of Engineering and Advanced Technology (IJEAT), vol. 10, no. 1, pp. 230-234, October 2020.
  4. T. J. S. Mudassar M. Majgaonker, "Discovering suffixes: A Case Study for Marathi Language," International Journal on Computer Science and Engineering, vol. 2, no. 8, pp. 2716-2720, 2010.
  5. D. S. a. C. N. M. Deepali K. Gaikwad, "Rule Based Question Generation for Marathi Text Summarization using Rule Based Stemmer," IOSR Journal of Computer Engineering (IOSR-JCE), pp. 51-54.
  6. M. D. J. M. V. B. P. A. D. Mr. Shubham Bhosale, "Marathi e-Newspaper Text Summarization Using Automatic Keyword Extraction Technique," International Journal of Advance Engineering and Research Development, vol. 5, no. 3, pp. 789-792, March 2018.
  7. M. P. B. G. Ms. Jayshri Arjun Patil, "Review of Name Entity Recognition in Marathi Language," IJSART, vol. 2, no. 6, pp. 497-499, June 2016.
  8. V. V. Sarwadnya, "Marathi Extractive Text Summarizer using Graph Based Model," IEEE, 2018.
  9. P. G. M. D. Nutan B. Zungre, "Sense Disambiguation For Marathi Language Words Using Graph Based Model," IEEE Sponsored World Conference on Futuristic Trends in Research and Innovation for Social Welfare , 2016.
  10. A. D. D. K. Anishka Chaudhari, "Marathi text summarization using neural networks," International Journal of Advance Research and Development, vol. 4, no. 11, pp. 1-3, 2019.
  11. S. G. Pooja Bolaj, "Text Classification for Marathi Documents using Supervised Learning Methods," International Journal of Computer Applications, vol. 155, no. 8, pp. 6-10, December 2016.


NLP, Extractive technique, TF-IDF, Text Rank, Marathi Language