UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 8
August-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1808861


Registration ID:
187173

Page Number

710-713

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Title

Clustering text in sentence level

Abstract

The sentence clustering is very important in some application of text mining such as single and documents summarization in which a sentence is selected based on information contribution by sentence scoring. The document’s sentences are semantically fully related or some degree of overlapping exists among other sentences. Our proposed clustering algorithm utilizes sentence overlapping (relation) in terms of fuzzy relational measurements. Results of applying this algorithm to sentence clustering tasks demonstrate that the algorithm is capable of identifying overlapping clusters of semantically related sentences.

Key Words

Clustering,fuzzy relation,Sentence overlapping,Text mining

Cite This Article

"Clustering text in sentence level", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.710-713, August-2018, Available :http://www.jetir.org/papers/JETIR1808861.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Clustering text in sentence level", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp710-713, August-2018, Available at : http://www.jetir.org/papers/JETIR1808861.pdf

Publication Details

Published Paper ID: JETIR1808861
Registration ID: 187173
Published In: Volume 5 | Issue 8 | Year August-2018
DOI (Digital Object Identifier):
Page No: 710-713
Country: aruppukottai, tamil nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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