Text Summarization Using Extractive Techniques for Indian Language
|© 2021 by IJCTT Journal|
|Year of Publication : 2021|
|Authors : Manasi Chouk, Neelam Phadnis|
|DOI : 10.14445/22312803/IJCTT-V69I6P107|
How to Cite?
Manasi Chouk, Neelam Phadnis, "Text Summarization Using Extractive Techniques for Indian Language," International Journal of Computer Trends and Technology, vol. 69, no. 6, pp. 44-49, 2021. Crossref, https://doi.org/10.14445/22312803/IJCTT-V69I6P107
Over the past decade there have been significant advances in Natural Language Processing and Machine Learning technologies. Research work is currently being done to summarize large text documents which are difficult to summarize manually. In Text summarization process the most important text has been selected and forms summaries. The purpose of the summarization system is to generate a short abstract and allows readers to understand the objective of text instead of reading original document. This paper describes various extractive and abstractive techniques can be used to summarize large Marathi text. Summarization techniques be categorized as: Abstractive summarization and Extractive summarization techniques. Various text summarization systems are implemented for English and other languages. However very few techniques are available for Indian language such as Marathi.
Extractive technique, Marathi Language, NLP, Text Summarization, TF-IDF, Text Rank.
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