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projects:year1:12.1

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12.1 - Social Media for Decision Informatics with Application to Emerging Events

Project - Summary

Objectives:

The objective of this project was to detect the onset of events using social media, especially twitter streams. To accomplish this, we (a) developed a new method to detect the onset of events, (b) studied topic evolution, which takes unstructured time stamped data as input and identify, in an unsupervised manner, the latent topics and how these topics evolve and © generate a simplistic visualization of the arrival tweets.

Project - Team

Team Member Role Email Phone Number Academic Site/IAB
Ryan G. Benton PI Not available Not available UL Lafayette
Chaomei Chen Site Coordinator Not available Not available Drexel Univeristy
Jian Chen Co-PI Not available Not available UL Lafayette
Raju Gottumukkala Co-PI Not available Not available UL Lafayette
Wanying Ding Graduate Student Not available Not available Drexel University
Satya Katragadda Graduate Student Not available Not available UL Lafayette
Sonal Pardeshi Graduate Student Not available Not available Drexel University
Shahid Virani Graduate Student Not available Not available UL Lafayette

Project - Impact and Uses/Benefits

Three dimensional fitness landscapes provide intuitive representations of potentially complex situations. Such representations provide the basis to which additional information concerning the performance of an organization can be superimposed. Users will benefit from the intuitive and informative representations. Furthermore, providing a stable framework that enables many more functionalities for gap analytic tasks.

Project - Deep Dive

Project - Documents

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projects/year1/12.1.1566424018.txt.gz · Last modified: 2019/08/21 16:46 by sally.johnson