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Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Mohammed Ibraaz Syed

Mohammed Ibraaz Syed
Graduate, Master of Applied Economics, UCLA

Mohammed Ibraaz Syed recently completed his master’s degree in applied economics at UCLA, where he focused on utilizing data science and machine learning techniques to solve economic problems. One of his primary research interests is applying artificial intelligence (AI) algorithms to extract narratives from a corpus of text. Previously, Ibraaz worked at the World Bank, providing analysis of the bank’s existing work and developing databases that have been used to draw inferences and implications for improving the bank’s activities. Ibraaz holds a BA in economics and a BSc in mathematics from the University of Maryland, College Park.

Sessions

5:25pm–6:05pm Wednesday, 09/12/2018
From emotion analysis and topic extraction to narrative modeling
Location: 1A 08 Level: Beginner
Secondary topics:  Text and Language processing and analysis
Andreea Kremm (Netex Group), Mohammed Ibraaz Syed (UCLA)
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Narrative economics studies the impact of popular narratives and stories on economic fluctuations in the context of human interests and emotions. Andreea Kremm and Mohammed Ibraaz Syed describe the use of emotion analysis, entity relationship extraction, and topic modeling in modeling narratives from written human communication. Read more.