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