Introduction to Natural Language Processing

Mara Weber

Unterrichtssprache: Englisch

Kursbeschreibung:

This introductory course on Natural Language Processing (NLP) equips participants with both technical computational skills and critical perspectives on language and society. This course provides a hands-on introduction to NLP techniques, including data scraping, text preprocessing, word embeddings and Large Language Models (LLMS). Using a feminist lens, the course will explore how gender is portrayed differently on Wikipedia, uncovering biases in language and representation. By combining technical training with critical analysis, this course empowers participants to apply NLP tools to address gender inequalities and their facilitation in knowledge production.

Voraussetzungen:

Dieser Kurs richtet sich an Teilnehmende aller Fachrichtungen. Grundlegende Programmierkenntnisse, vorzugsweise in R oder Python, sind wünschenswert, aber nicht erforderlich. Darüber hinaus sollten die Teilnehmenden Interesse an Natural Language Processing, NLP sowie an interdisziplinären Fragestellungen an der Schnittstelle von Informatik und Sozialwissenschaften mitbringen.

Biographie: Mara Weber

Mara Weber is a PhD candidate in Social Research Methods in the Department of Methodology at the London School of Economics and Political Science (LSE). Previously, she was a predoctoral researcher in Computational Social Sciences (CSS) in the Department of Political Science at the University College London. She works on methodological innovations in the broader field of CSS and researches the malleability of collective memory and the durability of stigmatizing elite rhetoric. She holds a Bachelor of Arts in Sociology and a Master’s degree in Sociology and Social Research Methods from the University of Bremen.