Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol 11, Issue 03, March 2024

Call for Paper

Vol 11, Issue 03, March 2024

Indexing

Design of Automatic Text Summarization Approach for Hindi Text Document Using Semantic Graph and Particle Swarm Optimization

Author : Vipul Dalal 1 Manisha Waze 2 Dr. Latesh Malik 3

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Date of Publication :7th February 2017

Abstract: Automatic text summarization is the process of summarizing given document using intelligent algorithms. Many techniques have been suggested by researchers in past for summarization of English text. Not much work is found in the literature for summarization of Hindi text even though Hindi is an official language of India. In this paper, we propose a design for summarizing Hindi text based on semantic graph of the document using Particle Swarm Optimization (PSO) algorithms. The subject-object-verb (SOV) triples are extracted from the document. These triples are used to construct semantic graph of the document. A trained classifier using PSO algorithm generates semantic sub-graph which is then used to obtain document summary. The approach is under implementation phase and expected to give better results as compared to traditional summarizers.

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