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:
JETIRFE06006


Registration ID:
316978

Page Number

26-31

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Title

Measuring semantic similarity between words using Web search engines

Abstract

An internet search engine developed an empirical approach for detecting semantic similarity based on page counts and text samples from two queries. It achieves this by combining lexical patterns taken from text excerpts with page counts to provide many word co-occurrence measures. A unique pattern extraction approach and a pattern clustering algorithm are developed to find the numerous semantic links that exist between two provided words. To discover the best mix of co-occurrence metrics based on page counts and lexical pattern clusters, Sequential Minimal Optimization is utilised. In a group mining operation, the proposed approach considerably enhances accuracy. The proposed semantic similarity metric is utilised in a community extraction job to uncover linkages between items, particularly people. With statistically significant accuracy and recall values, the suggested technique outperforms the baselines. The results of the community mining challenge indicate that the suggested method may be used to compare the semantic similarity of not just words, but also named items for which human lexical ontologies are either missing or incomplete.

Key Words

Measuring semantic similarity between words using Web search engines

Cite This Article

"Measuring semantic similarity between words using Web search engines", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.26-31, February-2019, Available :http://www.jetir.org/papers/JETIRFE06006.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

"Measuring semantic similarity between words using Web search engines", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp26-31, February-2019, Available at : http://www.jetir.org/papers/JETIRFE06006.pdf

Publication Details

Published Paper ID: JETIRFE06006
Registration ID: 316978
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 26-31
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162


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