Modern Text Analysis and NLP with Python by Dr Patrick Gildersleve
Date:
20/05/2026
Organised by:
London School of Economics and Political Science
Presenter:
Dr Patrick Gildersleve
Level:
Intermediate (some prior knowledge)
Contact:
Location:
View in Google Maps (WC2B 4DS)
Venue:
CON 1.01, Connaught House, LSE
65 Aldwych
London WC2B 4DS
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.
If you are an ESRC funded student then we require your name, email and course to report your attendance to your home institution, please click here to see the privacy notice that this data collection is subject to.
Cost:
Free
Website and registration:
Region:
Greater London
Keywords:
Qualitative Data Handling and Data Analysis, AI and machine learning
Related publications and presentations from our eprints archive:
Qualitative Data Handling and Data Analysis
AI and machine learning