UGC Approved Journal no 63975

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

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1807925


Registration ID:
185772

Page Number

194-201

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Title

REAL-TIME OPINION MINING OF TWITTER DATA USING FLUME AND HADOOP

Authors

Abstract

Today every internet user have a social account on which they share their opinions and communicate to each other. In all social sites Twitter is very popular on sharing the various user opinions towards a particular field. These twitter data is unstructured in nature so its hard to process with traditional tools. And also social websites like twitter , facebook, etc generates petabytes of data every day so storing these amount of data is also important. In these paper we proposed hadoop which is an open source framework used to stored and process huge amount of structured and unstructured data. In these we also propose various hadoop ecosystems which is used to fetch real time tweets and analyzing these data in efficient manner. Here we have used dictionary based approach for analysis for which we have implemented hive queries through which we can analysis these complex twitter data to check polarity of the tweets based on the polarity dictionary through which we can say that which tweets have negative opinion or positive opinion. Also we can perform some optimization to enhance query performance in hive.

Key Words

Hadoop, twitter, data mining, social analysis, hadoop ecosystem, flume, hive

Cite This Article

"REAL-TIME OPINION MINING OF TWITTER DATA USING FLUME AND HADOOP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.194-201, July-2018, Available :http://www.jetir.org/papers/JETIR1807925.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

"REAL-TIME OPINION MINING OF TWITTER DATA USING FLUME AND HADOOP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp194-201, July-2018, Available at : http://www.jetir.org/papers/JETIR1807925.pdf

Publication Details

Published Paper ID: JETIR1807925
Registration ID: 185772
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 194-201
Country: BHOPAL, MADHYA PRADESH, India .
Area: Science & Technology
ISSN Number: 2349-5162


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