Workshop: Introduction to topic modelling and Natural language Processing (NLP)

In this workshop, we will learn the basics of topic modelling and Natural Language Processing (NLP) that allow uncovering patterns and structures across large collections of text known as corpora. Using popular Python libraries such as NLTK and Gensim, we will go through the main steps in a standard NLP pipeline, such as text cleaning and pre-processing, text tokenization and vectorization, subsequent use of topic modelling algorithms, and, finally, evaluation of topic modelling results. Basic familiarity with Python is recommended but not required.