Global Health Social Media Analytics

Machine learning & text analytic applications to gain insight into social media chatter about global health issues.

Updated by UN-OICT Analytics on December 8, 2016

Project repository

Project Objective

The goal of this project is to build a web-based, machine learning text analytic applications to gain insight into social media chatter about health issues. The application, when deployed can be used for real-time analysis of the text data from various social media sites to visualize patterns and trends in global health issues. The initial scope of the project is limited to ‘English’ speaking countries’ social media sites.

The project is seeking a partners for web front-end development.

Project Team

Data Analytics

Fordham University’s Center for Digital Transformation

W. “RP” Raghupathi, Ph.D- Fordham University
Professor of Information Systems
Director, MS in Business Analytics Program
Director, Center for Digital Transformation
Gabelli School of Business

Prof. Yilu Zhou, PhD - Fordham University Associate Professor
Information Systems
Gabelli School of Business

This team is advised by staff members from the United Nations Secretariat who provide background as well as detailed information on the expected work and objectives.