A0152
Title: Topic modelling
Authors: Ivan Savin - ESCP Business School, Madrid campus (Spain) [presenting]
Abstract: A theoretical understanding and practical skills for topic modelling will be offered. Using this method, developed on the intersection of machine learning and natural language processing, new ways will be considered about: 1) clustering textual data into meaningful topics, 2) relating this information to other characteristics of the texts and 3) discussing potential ways how to develop a storyline around this type of analysis. Topic modelling can be applied, for example, to responses to open-ended survey questions to elicit preferences, to research articles for large-scale literature reviews, to posts on social networks like Twitter and many more. A few examples of applying the method using R software will be discussed in detail with the participants.
