Modern Text Analysis and NLP with Python
Date:
27/05/2025
Organised by:
London School of Economics
Presenter:
Dr Patrick Gildersleve
Level:
Advanced (specialised prior knowledge)
Contact:
Crystal chia
methodology.research@lse.ac.uk
Description:
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: 27 May 2025
Mode: Hybrid - In person at CON 1.01 and on Zoom
Please note that in-person attendance will be prioritised/ preferred for this course, as remote debugging will be difficult.
All session materials and the Zoom link will be circulated after the sign-up closes on 26 May.
Cost:
Free
Website and registration:
Region:
Greater London
Keywords:
Frameworks for Research and Research Designs, Quantitative Data Handling and Data Analysis, Mixed Methods Data Handling and Data Analysis, ICT and Software, Research Management and Impact
Related publications and presentations from our eprints archive:
Frameworks for Research and Research Designs
Quantitative Data Handling and Data Analysis
Mixed Methods Data Handling and Data Analysis
ICT and Software
Research Management and Impact