Extracting Multi-Document Summary using Data Merging Technique

Authors(2) :-Vidhya Thakre, Prof. Antara Bhattcharya

Natural language processing gives Text Summarization, which is the unmistakable application for data weight. Content outline is an arrangement of passing on a summary by diminishing the measure of exceptional document and relating basic data of standout report. There is rising a need to give marvelous diagram in less time in light of the path that in present time, the headway of information increases hugely on World Wide Web or on client's work zones so Multi-Document once-finished is the best mechanical get together to influence outline in less to time. This paper shows a review of existing strategies with the eccentricities including the need of sharp Multi-Document summarizer.

Authors and Affiliations

Vidhya Thakre
M. Tech Student, Department Computer Science & Engineering, G. H. Raisoni Institute of Engineering & Technology, Nagpur, Maharashtra, India
Prof. Antara Bhattcharya
Assistant Professor, Department of Computer Science & Engineering, G. H. Raisoni Institute of Engineering & Technology, Nagpur, Maharashtra, India

Multi-Document Summarization; Clustering Based; Extractive and Abstractive approach; Ranked Based; LDA Based; Natural Language Processing.

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Publication Details

Published in : Volume 4 | Issue 2 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 375-381
Manuscript Number : CSEIT184175
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Vidhya Thakre, Prof. Antara Bhattcharya, "Extracting Multi-Document Summary using Data Merging Technique", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 2, pp.375-381, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT184175

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