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Hindi Multi-document Text Summarization using Text Rank Algorithm

by Aniket Suryavanshi, Bhavika Gujare, Allan Mascarenhas, Bhanu Tekwani
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 29
Year of Publication: 2021
Authors: Aniket Suryavanshi, Bhavika Gujare, Allan Mascarenhas, Bhanu Tekwani
10.5120/ijca2021921215

Aniket Suryavanshi, Bhavika Gujare, Allan Mascarenhas, Bhanu Tekwani . Hindi Multi-document Text Summarization using Text Rank Algorithm. International Journal of Computer Applications. 174, 29 ( Apr 2021), 27-29. DOI=10.5120/ijca2021921215

@article{ 10.5120/ijca2021921215,
author = { Aniket Suryavanshi, Bhavika Gujare, Allan Mascarenhas, Bhanu Tekwani },
title = { Hindi Multi-document Text Summarization using Text Rank Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2021 },
volume = { 174 },
number = { 29 },
month = { Apr },
year = { 2021 },
issn = { 0975-8887 },
pages = { 27-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number29/31862-2021921215/ },
doi = { 10.5120/ijca2021921215 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:23:26.091432+05:30
%A Aniket Suryavanshi
%A Bhavika Gujare
%A Allan Mascarenhas
%A Bhanu Tekwani
%T Hindi Multi-document Text Summarization using Text Rank Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 29
%P 27-29
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Summarization is a technique in which the original text is summarized by selecting only what is important from the text. In today’s world with the great advancement in the field of technology, huge amount of information is available online. In order to get only the necessary information from one or more sources available online, summarization is needed. By taking into the consideration the above problem, technique for hindi text summarization is proposed. Various documents related to sports, essays, news etc. which are available online were taken input for the system. The extraction of the summarized text was done on the basis of some important features of the text. It can be further used for news summary, summaries of books, etc.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Hindi text documents text rank algorithm Extractive method multi document

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