UGC Approved Journal no 63975(19)

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Published in:

Volume 7 Issue 11
November-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2011155


Registration ID:
303400

Page Number

157-160

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Title

Empirical Analysis of Selected Supervised Machine Learning Algorithms on Twitter Data

Abstract

This paper demonstrate an investigational research work carried out Twitter social network site in order to do comparison of selected supervised learning algorithms with existing standard methods. The experimental work is done on python platform. The comparison of algorithms is made with respect to precision, accuracy, recall and F1 scores.

Key Words

Data Mining, Social Network Analysis, Classification, Accuracy

Cite This Article

"Empirical Analysis of Selected Supervised Machine Learning Algorithms on Twitter Data ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 11, page no.157-160, November-2020, Available :http://www.jetir.org/papers/JETIR2011155.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

"Empirical Analysis of Selected Supervised Machine Learning Algorithms on Twitter Data ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp157-160, November-2020, Available at : http://www.jetir.org/papers/JETIR2011155.pdf

Publication Details

Published Paper ID: JETIR2011155
Registration ID: 303400
Published In: Volume 7 | Issue 11 | Year November-2020
DOI (Digital Object Identifier):
Page No: 157-160
Country: Nanded, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2011155
Published Paper PDF: https://www.jetir.org/papers/JETIR2011155

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