UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1907D24


Registration ID:
221335

Page Number

141-145

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Title

Comparison of Hadoop Ecosystem on Twitter’s Hashtag Dataset

Abstract

Intelligence gathering from Social media is a challenging area in data analytics today. Twitter is a popular social media and the primary source of information for real time data sharing. Twitter uses very short and suited symbols for knowledge and these symbols helps for message predictions. Twitter server provides API’s by which a twitter user can gather and analyse data of tweets. Twitter ’s API provides data in more informative form that is helpful for interesting research work . This paper is based on gathering, mining, and knowledge discovery & visualisation from Twitter data. This paper highlights a process to collect twitter’s data, store and analyse the data sets on Hadoop Ecosystem.

Key Words

Hadoop. Hashtag. Bigdata. HIVE. PIG.

Cite This Article

"Comparison of Hadoop Ecosystem on Twitter’s Hashtag Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.141-145, June 2019, Available :http://www.jetir.org/papers/JETIR1907D24.pdf

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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

"Comparison of Hadoop Ecosystem on Twitter’s Hashtag Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp141-145, June 2019, Available at : http://www.jetir.org/papers/JETIR1907D24.pdf

Publication Details

Published Paper ID: JETIR1907D24
Registration ID: 221335
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 141-145
Country: BHOPAL, MADHYA PRADESH, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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