Advisor

Using Twitter to Analyze Data

Posted January 9, 2018 | Technology |
Data Analytics & Digital Technologies

In this Advisor, the authors demonstrate their analytical approach with a direct and practical example of using Twitter data in real time to understand the sentiments (positive or negative) of trade show participants and to gain insights from them.

About The Author
Matt Ganis
Matthew Ganis is an IBM Senior Technical Staff Member in Armonk, NY. He is also an Adjunct Professor of Information Technology and Astronomy at Pace University, where he focuses on the implementation of the Internet of Things. Dr. Ganis is the coauthor of Social Media Analytics: Techniques and Insights for Extracting Business Value Out of Social Media. He can be reached at mganis@pace.edu or via Twitter @mattganis. 
Frank Coloccia
Frank Coloccia, Jr., is a student at Pace University in the Seidenberg School of Computer Science & Information Systems, where he is pursuing a bachelor of science degree in IT with a minor in cybersecurity. He can be reached at fc01390p@pace.edu. 
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