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:
JETIRFE06010


Registration ID:
316974

Page Number

49-54

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Title

LEXICAL PATTERN EXTRACTION USING RANDOM FOREST

Abstract

Using page counts and text samples from two phrases, an internet search engine generated an empirical technique for measuring semantic similarity. It accomplishes this by using page counts to create numerous word co-occurrence metrics and combines them with lexical patterns extracted from text snippets. To discover the many semantic linkages that exist between two supplied words, a novel pattern extraction technique and a pattern clustering algorithm are created. Random forest are used to find the optimal combination of co-occurrence metrics based on page counts and lexical pattern clusters. The proposed technique improves accuracy significantly in a group mining job. In a community extraction task, the recommended semantic similarity measure is used to discover links between elements, especially persons. The proposed approach outperforms the baselines with statistically significant accuracy and recall values. The findings of the community mining challenge show that the proposed approach may be used to compare the semantic similarity of not just words, but also named things for which manually constructed lexical ontologies are either lacking or incomplete.

Key Words

LEXICAL PATTERN EXTRACTION USING RANDOM FOREST

Cite This Article

"LEXICAL PATTERN EXTRACTION USING RANDOM FOREST", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.49-54, February-2019, Available :http://www.jetir.org/papers/JETIRFE06010.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

"LEXICAL PATTERN EXTRACTION USING RANDOM FOREST", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp49-54, February-2019, Available at : http://www.jetir.org/papers/JETIRFE06010.pdf

Publication Details

Published Paper ID: JETIRFE06010
Registration ID: 316974
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 49-54
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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