Modern Text Analysis and NLP with Python

Training for PhD and MSc students in the design of social research, quantitative and qualitative analysis.

Modern Text Analysis and NLP with Python by Dr Patrick Gildersleve.

This workshop offers students hands-on experience of modern approaches in text analysis and natural language processing (NLP) using Python. We will start with the essential preprocessing steps that allow us to apply standard machine learning models to text. Then, we will journey through more advanced methods such as text embeddings, named entity recognition, neural topic modelling, exploring transformers, and interfacing with state-of-the-art Large Language Model APIs.

Participants will apply these techniques to various social science research scenarios, equipping them with a powerful toolkit for handling text data across diverse fields and providing an entry into the fast-developing methodological area of advanced NLP.

Students should have a pre-existing understanding of coding in Python and general principles of machine learning. Prior experience in text analysis is optional.

Session Details
Time: 10:00 - 15:00 (12:00 - 13:00 Lunch break)
Date: 20 May 2026.
Mode: Hybrid: In-person at CON.1.01 and online via Zoom.

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