UGC Approved Journal no 63975

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

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIRFE06037


Registration ID:
316941

Page Number

204-209

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Title

A WEB SEARCH ENGINE-BASED APPROACH TO MEASURE SEMANTIC SIMILARITY BETWEEN WORDS

Abstract

An online search engine yielded an empirical approach for estimating semantic similarity using page counts and text samples for two terms. It does so by utilizing page counts to establish multiple word co-occurrence metrics and combining them with lexical patterns taken from text excerpts. A unique pattern extraction approach and a pattern clustering algorithm are developed to detect the multiple semantic links that exist between two provided words. Support vector machines are used to discover the best mix of page counts-based co-occurrence metrics and lexical pattern clusters. In a group mining task, the suggested strategy considerably enhances accuracy. In a community extraction task, it uses the suggested semantic similarity metric to find relationships between items, namely individuals. With statistically substantial accuracy and recall values, the suggested technique outperforms the baselines. The results of the community mining challenge demonstrate that the suggested technique may be used to compare the semantic similarity of not just words, but also named entities for which manually produced lexical ontologies are either missing or incomplete.

Key Words

A WEB SEARCH ENGINE-BASED APPROACH TO MEASURE SEMANTIC SIMILARITY BETWEEN WORDS

Cite This Article

"A WEB SEARCH ENGINE-BASED APPROACH TO MEASURE SEMANTIC SIMILARITY BETWEEN WORDS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.204-209, February-2019, Available :http://www.jetir.org/papers/JETIRFE06037.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

"A WEB SEARCH ENGINE-BASED APPROACH TO MEASURE SEMANTIC SIMILARITY BETWEEN WORDS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp204-209, February-2019, Available at : http://www.jetir.org/papers/JETIRFE06037.pdf

Publication Details

Published Paper ID: JETIRFE06037
Registration ID: 316941
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 204-209
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162


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