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Ravi Shankar Subramanian IoT Brexit Twitter Sentiment Analysis
- 1. Ravi Shankar Subramanian
Statistical Training And
Technical Services
About Me
• Graduate Student pursuing Master in
Business Analytics in Oklahoma State
University-Stillwater.
• Started at SAS in 2016 as a Summer Intern in
Analytical Education Group reporting to
Catherine Truxillo
• Four years of professional work experience
in IT consulting with retail domain
experience.
• Goal: Full-time Analytical Consultant job in
the Data Analytics Industry
Projects
• Hybrid Recommender system based on Yelp
user reviews (Presenting in the Analytics
Experience 2016 and in the MWSUG 2016).
• SAS Shootout 2016 - Created a time series
forecast model to predict the impact of baby
boomer population on U.S economy.
• Predicting the best location to open an
electronics service center in Stillwater,OK
using Esri ArcGIS.
Training / Learning
• SAS Training : Advanced SAS Programming
• End User Training for SAS Asset Performance
Analytics
• SAS Event Stream Processing 3.2 for the
Technical Consultant
Contact Info
• SAS: ravishankar.subramanian@sas.com
• College:
ravishankar.subramanian@okstate.edu
• Mobile : 405-762-3625
Copyright © 2015, SAS Institute Inc. All rights reserved.
Internet of Things (IoT) - Real time
sentiment and content analysis of
tweets related to Brexit
Challenge
The objective of the project is to analyze the sentiment of tweets
related to Brexit as and when they get generated. Also the terms of
interest such as Immigration,Refugee,Trade etc. were extracted from
the tweets to analyze their context. As the data from twitter is
streaming in nature, I have used SAS ESP 3.2 to read the data from
twitter and perform the sentiment analysis. This project will serve as a
base for the education division to develop a course on Internet of
Things in the near future.
Code Overview
SAS Event Stream Processing 3.2
SAS Sentiment Analysis Studio
SAS Contextual Analysis Studio
Enterprise Miner.
Python 3.2
Applications
This real time data analysis
model will help organizations
analyze the sentiments of the
users on their recent marketing
campaign. It eliminates the need
to store a large volume of data
and also provides the insights in
real-time that will facilitate a
better decision making.
Certifications
• SAS Certified Base Programmer for SAS 9
• SAS Certified Advanced Programmer for SAS 9
• SAS Certified Statistical Business Analyst Using
SAS 9
• IBM Certified Data stage 8.5 Developer
Twitter Hashtags Tracked
track=["brexit","#no2eu","#notoeu","#betterof
fout", "#voteout", "#britainout",
"#leaveeu","#loveeuropeleaveeu",
"#voteleave","#beleave",'#migrant','#refugee',
'#loveeuropeleaveeu','#yes2eu','#yestoeu',
'#betteroffin','#votein', '#ukineu', '#bremain',
'#strongerin','#leadnotleave’, '#voteremain',
'#votein','#indyref2',"#WhatHaveWeDone"]