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Architecture for Hybrid genetic fuzzy system for text summarization

S. Saiyed1 , P. Sajja2

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 986-989, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.986989

Online published on Jun 30, 2018

Copyright © S. Saiyed, P. Sajja . 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.

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IEEE Style Citation: S. Saiyed, P. Sajja, “Architecture for Hybrid genetic fuzzy system for text summarization,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.986-989, 2018.

MLA Style Citation: S. Saiyed, P. Sajja "Architecture for Hybrid genetic fuzzy system for text summarization." International Journal of Computer Sciences and Engineering 6.6 (2018): 986-989.

APA Style Citation: S. Saiyed, P. Sajja, (2018). Architecture for Hybrid genetic fuzzy system for text summarization. International Journal of Computer Sciences and Engineering, 6(6), 986-989.

BibTex Style Citation:
@article{Saiyed_2018,
author = {S. Saiyed, P. Sajja},
title = {Architecture for Hybrid genetic fuzzy system for text summarization},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {986-989},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2286},
doi = {https://doi.org/10.26438/ijcse/v6i6.986989}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.986989}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2286
TI - Architecture for Hybrid genetic fuzzy system for text summarization
T2 - International Journal of Computer Sciences and Engineering
AU - S. Saiyed, P. Sajja
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 986-989
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

Massive amount of information in form of text is available on internet. To get useful or important information from this massive amount of information is tough and tedious task. One can get important information by creating summary. Manual creation of summary is again a tough task. Hence research community is developing new approaches for creating automatic summaries; these approaches are called automatic text summarization. There are number of text summarization techniques available, some of them lack with quality of summary and some of them lacks in user specific needs of summary. This paper discusses the architecture for extractive type of text summarization that uses hybrid genetic fuzzy system. The goal of this paper is to give idea about effectiveness of Genetic algorithm and fuzzy logic system together to create good summary.

Key-Words / Index Term

Text Summarization, Extractive summarization, Hybrid Genetic algorithm & Fuzzy system for text summarization

References

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