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International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
Sunday 20 October 2019

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  Call for Papers - November 2019     |     Now IJIAS is indexed in EBSCO, ResearchGate, ProQuest, Chemical Abstracts Service, Index Copernicus, IET Inspec Direct, Ulrichs Web, Google Scholar, CAS Abstracts, J-Gate, UDL Library, CiteSeerX, WorldCat, Scirus, Research Bible and getCited, etc.  
 
 
 

Literature Review of Automatic Single Document Text Summarization Using NLP


Volume 3, Issue 3, July 2013, Pages 857–865

 Literature Review of Automatic Single Document Text Summarization Using NLP

Md. Majharul Haque1, Suraiya Pervin2, and Zerina Begum3

1 Department of Computer Science & Engineering, University of Dhaka, Dhaka, Bangladesh
2 Department of Computer Science & Engineering, University of Dhaka, Dhaka, Bangladesh
3 Institute of Information Technology, University of Dhaka, Dhaka, Bangladesh

Original language: English

Received 25 May 2013

Copyright © 2013 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


In the time of overloaded online information, automatic text summarization is especially demanded for salient information retrieval from huge amount electronic text. For the blessing of World Wide Web, the mass of data is now enormous in its volume. Researchers realized this fact from various aspects and tried to generate an automatic abstract of the gigantic body of data from the commencement of the last half century. Numerous ways are there for characterizing different approaches to passage recapitulation: extractive and abstractive from single or compound document, objective of content abridgement, characteristic of text summarization, level of processing from superficial to profound and sort of article's content. A significant pr

Author Keywords: Information retrieval, World Wide Web, Electronic text, Automatic abstract, Human professionals.


How to Cite this Article


Md. Majharul Haque, Suraiya Pervin, and Zerina Begum, “Literature Review of Automatic Single Document Text Summarization Using NLP,” International Journal of Innovation and Applied Studies, vol. 3, no. 3, pp. 857–865, July 2013.