UGC Approved Journal no 63975(19)

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

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1905D62


Registration ID:
210549

Page Number

424-429

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Title

COMMENTS CLASSIFICATION USING SENTIMENT ANALYSIS WITH KNN

Abstract

The numbers of colleges are increasing day-by-day. All they have their counseling centers where new candidate can get information about college. But it requires time to understand which the best deserving college is according to own expectation. College recommendation system is most popular way to get an appropriate college from number of colleges. There are number of sites for college recommendation all having their own strengths, weaknesses and aspects. The proposed system will use KNN algorithm for comment classification which works for better efficiency and accuracy. The proposed system will recommend college according to candidates’ requirement and interest on the basis of comments given by college students. The candidate can see the performance graph to decide which college to choose.

Key Words

Sentiment Analysis, Comments Mining, Semantic Analysis, Text Mining, Opinion Mining

Cite This Article

"COMMENTS CLASSIFICATION USING SENTIMENT ANALYSIS WITH KNN ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.424-429, May-2019, Available :http://www.jetir.org/papers/JETIR1905D62.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

"COMMENTS CLASSIFICATION USING SENTIMENT ANALYSIS WITH KNN ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp424-429, May-2019, Available at : http://www.jetir.org/papers/JETIR1905D62.pdf

Publication Details

Published Paper ID: JETIR1905D62
Registration ID: 210549
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 424-429
Country: AMRAVATI, MAHARASHTRA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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