UGC Approved Journal no 63975(19)

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

Volume 6 Issue 4
April-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1904D72


Registration ID:
206233

Page Number

529-541

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Title

ANALYSIS OF TWEETS USING HADOOP

Authors

Abstract

Ever since the enhancement of Technology, data has been growing every day. One prominent factor that gave rise to Big data is Social media. Data from these social media sites can be used for many purposes like prediction, analysis, marketing, business etc. Among these social media sites is Twitter, which is prominent and widely used. Traditional systems and tools like R-DBMS etc. do not have the capacity to handle enormous data which is mainly un structured. Hence there is a need to handle Big data and this is solved by Hadoop, a java-based framework for distributed storage & processing of large datasets on commodity hardware. In this paper we propose a method to perform analysis of tweets using Big data tools such as Hadoop, flume, hive Hue etc

Key Words

Bigdata, Social media, Hadoop, Flume, Hive, Hue, twitter, hashtag, tableau.

Cite This Article

"ANALYSIS OF TWEETS USING HADOOP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.529-541, April-2019, Available :http://www.jetir.org/papers/JETIR1904D72.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

"ANALYSIS OF TWEETS USING HADOOP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp529-541, April-2019, Available at : http://www.jetir.org/papers/JETIR1904D72.pdf

Publication Details

Published Paper ID: JETIR1904D72
Registration ID: 206233
Published In: Volume 6 | Issue 4 | Year April-2019
DOI (Digital Object Identifier):
Page No: 529-541
Country: hyderabad, Telangana, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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