Social Networking Service (SNS), is a platform
to provide social relations among individuals who share
common interest. Twitter has become very popular. Millions
of users post their comments on twitter; they specify their
view on current affairs. Daily large amount of row data is
available and which can be helpful for industrial or business
purpose. Hence the twitter data can be analyzed and used
for different businesses which will helpful for decision
making. This paper gives a way of analysis of twitter data
using AFFIN, EMOTICON for natural language processing.
To store, categories & process large sentiments we are using
Hadoop an open source framework.
In this paper, we introduced a new technique to do
sentiment analysis of twitter data. It will give us an
effective output which is easy to understand. This
application is very useful for decision making in various
domains. And because of HADOOP it becomes easy to
process the data in less time.
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[20] S Anna Jurek 1,2, Yaxin Bi2, Maurice Mulvenna 2 1
RepKnight Limited, 37A Upper Dunmurry Lane,
Belfast, BT17 0AJ ”Twitter Sentiment Analysis for
Security-Related Information Gathering” , UK 2
School of Computing and Mathematics, Faculty of
Computing and Engineering, University of Ulster,
BT37 0QB, UK anna.jurek@repknight.com (jureka@
email.ulster.ac.uk),y.bi@ulster.ac.uk,md.mulvenna
@ulster.ac.uk ,IEEE 2014
