UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

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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Unique Identifier

Published Paper ID:
JETIRBR06006


Registration ID:
210226

Page Number

29-34

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Title

A COMPARATIVE STUDY ON SUPERVISED LEARNING METHODS

Abstract

Web has become the part of human daily life and continuously generates the sentiment in the form of feedbacks, reviews. The analyzing and classifying these sentiments is a tedious task. In this paper we are focusing on measuring the classification accuracy of supervised learning algorithms like RNN, SVM, NB and CNN on IMDB movie reviews.

Key Words

Sentiment Classification, Movie Review, Supervised leaning, Recall, Precision, IMDB.

Cite This Article

"A COMPARATIVE STUDY ON SUPERVISED LEARNING METHODS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.29-34, May-2019, Available :http://www.jetir.org/papers/JETIRBR06006.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 COMPARATIVE STUDY ON SUPERVISED LEARNING METHODS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp29-34, May-2019, Available at : http://www.jetir.org/papers/JETIRBR06006.pdf

Publication Details

Published Paper ID: JETIRBR06006
Registration ID: 210226
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 29-34
Country: -, --, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIRBR06006
Published Paper PDF: https://www.jetir.org/papers/JETIRBR06006

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