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:
JETIR1905C37


Registration ID:
209900

Page Number

249-261

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Title

Applications of Social Media Analytics using Machine Learning

Abstract

Abstract- Now a day’s with the increased use of social networking, more people are showing curiosity towards social media for information and opinion of other users. Facebook is the most popular social networking site that records large amount of user behavior expressed in various activities such as facebook likes, status updates, comments, photos. As the use of social media increases the importance of analyzing its produced data also increases. Machine learning is the application of artificial intelligence that provides systems to automatically learn from experience without being explicitly programmed. The data on facebook and other online websites can be analyzed using different machine learning techniques.

Key Words

Keywords: Social media, Sentimental Analysis, Machine learning techniques.

Cite This Article

"Applications of Social Media Analytics using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.249-261, May-2019, Available :http://www.jetir.org/papers/JETIR1905C37.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

"Applications of Social Media Analytics using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp249-261, May-2019, Available at : http://www.jetir.org/papers/JETIR1905C37.pdf

Publication Details

Published Paper ID: JETIR1905C37
Registration ID: 209900
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 249-261
Country: Hoshiarpur, PUNJAB, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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