Thomas Renault

t renault
Assistant Professor
University Paris 1 Panthéon-Sorbonne

Thomas Renault holds a PhD in Finance and is an Assistant Professor in economics at the University of Paris 1 Panthéon-Sorbonne and a Scientific Advisor to the Council of Economic Analysis. His interests focus on the use of online data and textual analysis to build new indicators to contribute to various issues in economics and finance. He has published numerous papers using textual analysis with applications to stock market forecasting, macro-economic forecasting, market manipulation detection, social distancing beliefs measurement, uncertainty proxy construction, coverage of crime by the media, cryptocurrency returns forecasting, and central bank communication analysis.

more information

What can we learn from online employee reviews ? Using web scraping and NLP to capture employee satisfaction

Abstract

This presentation introduces the employee reviews data extracted from the Glassdoor website and presents various applications in economics and finance (stock market forecasting, inflation expectations measurement, corporate social responsability). It discusses how to extract employee reviews and NLP methods that can be used to structure and analyze these data.