Title: Topic modelling
Organizers: Organized within COMPSTAT by the COST Action HiTEc.
Date: 30 August 2024
Venue: : Lecture hall building law and economics bulding (Hörsaalgebäude Recht und Wirtschaft), Justus-Liebig-University of Giessen, Licher Strasse 68, 35394 Giessen, Germany.
Room: Room 44.
Speakers:
Dr. Ivan Savin, Associate professor at ESCP Business School.
Requirements: Programming skills in R and/or Python are desirable.
Summary: The tutorial will offer both a theoretical understanding and practical skills of working with the method called "topic modelling". Using this method developed on the intersection of machine learning and natural language processing participants will learn new ways on how to: 1) cluster textual data into meaningful topics, 2) relate this information to other characteristics of the texts and 3) discuss potential ways how to develop a storyline around this type of analysis.
This method can be applied for example on responses to open-ended survey questions to elicit preferences, to research articles for large-scale literature reviews, to posts in social networks like Twitter and many more. Using R software a few examples of applying the method will be discussed in detail with the participants.
Tutorial Overview: Please click here for the tutorial overview.

Friday, 30 August 2024

• 09:00 – 10:30 Session I - Motivation
• 10:30 – 11:00 Coffee break
• 11:00 – 12:00 Session II - What is Topic Modelling (TM) and how it works
• 12:10 – 13:00 Session III - What are advantages of Structural TM
• 13:00 – 14:00 Lunch break
• 14:00 – 16:30Session IV - Hands-on with a few examples (literature review, survey, social network data)