Final phase of Cognitive Analytics in predicting the US elections' 2016 outcome.

1. Cognitive Politics
US ELECTIONS 2016
Cognitive News Analytics to predict the Next US president
Sankar Nagarajan, TEXTIENT Analytics
09, Nov 2016

2. Cognitive Analytics
• During the first two analysis , cognitive analytics was done on the
TEXTIENT platform powered by IBM Watson. You can see the details
in our blog https://cognitivepoliticsblog.wordpress.com/
• This time for the final analysis, Given the juncture of the US elections
(9, Nov’16) and the progress of the voting so far, I took a slightly
different approach to the analysis where I directly used aggregated
news content intelligence using IBM Watson to provide cues on who
is likely to be elected and here it goes..!

3. Data & Intelligence
Data ?
• Sampling and Aggregation of hundreds of Public News
articles (text content)

4. 1. Analysis term  “Hillary Clinton”
Topics discovered Dominant Entities discovered
News Location context

5. 1. Analysis term  “Clinton”
Topics discovered Dominant Entities discovered
News Location context

6. 1. Analysis term  “White House”
Topics discovered Dominant Entities discovered
News Location context

7. 1. Analysis term  “US Election”
Topics discovered Dominant Entity discovered
News Location context

8. 1. Analysis term  “Barack Obama”
Topics discovered Dominant Entities discovered
News Location context

9. 1. Analysis term  “Presidential”
Topics discovered Dominant Entities discovered
News Location context

10. 1. Analysis term  “Trump”
Topics discovered Dominant Entities discovered
News Location context

11. The Dominant Indicator

12. US Election 2016 Prediction
The Next US president is “Mr.Donald Trump”
Caution: The above view is not deterministic. Anything could
change from my time of analysis till the election closing day as
there are a number of people centric and external variables in
play.
https://cognitivepoliticsblog.wordpress.com
You can read the analysis details at

13. THANK YOU
http://www.textient.com
Twitter: @_textient
Photo credits
Wikimedia Commons
Commons.Wikimedia.org
Cognitive Analytics by TEXTIENT using IBM Watson

14. Disclaimer
• The views mentioned here are our own
• Data if used for this article have been sourced from available information in the
public domain and has not been authenticated by any statutory authority.
• Although every reasonable effort is made to present current or appropriate
information, there are no guarantees of any kind. Data accuracy cannot be
guaranteed. All analysis included herein are based on data from public sources,
but no representation or warranty, expressed or implied, is made as to their
accuracy, completeness, timeliness, or correctness. We are not liable for any
errors or inaccuracies, regardless of cause to you (readers, users).