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851-0739-02L 2 Credits BSC , DS , DR , MSC D-ITET , D-INFK , D-MATH , D-GESS

Natural Language Processing for Law and Social Science (Course Project)

Lecturers & Examiners: Prof. Dr. Elliott Ash

This is the optional course project for "Natural Language Processing for Law and Social Science". Please register only if attending the lecture course or with consent of the instructor. Some programming experience in Python is required, and some experience with text mining is highly recommended.

VVZ CR n/a

Last Updated: 2026-02-05 16:22:58

Abstract

This is the companion course for extra credit for a course project, for the course "Natural Language Processing for Law and Social Science".

Objective

Students will be introduced to a broad array of tools in natural language processing (NLP). They will learn to evaluate and apply NLP tools to a variety of problems. The applications will focus on social-science contexts, including law, politics, and the news media. Topics include text classification, topic modeling, transformers, model explanation, and bias in language.

General Information

Language: English
Levels: BSC , DS , DR , MSC
Frequency: Yearly recurring

Examination

Type: graded semester performance

Course Components

Type	Title	Time & Place	Hours
lecture	Natural Language Processing for Law and Social Science (Course Project)	No time listed	28 h semesterly

Offered In

Science in Perspective (In “Science in Perspective”-courses students learn to reflect on ETH’s STEM subjects from the perspective of humanities, political and social sciences. Only the courses listed below will be recognized as "Science in Perspective" courses.)
- Type A: Enhancement of Reflection Competence (SiP courses are recommended for bachelor students after their first-year examination and for all master- or doctoral students. All SiP courses are listed in Type A. Courses listed under Type B are only recommendations for enrollment for specific departments.)
  - Law
- Type B: Reflection About Subject-Specific Methods and Contents (Subject-specific courses. Particularly relevant for students interested in those subjects. All these courses are also listed under the category “Typ A”, and every student can enroll in these courses.)
  - D-INFK
  - D-ITET
  - D-MTEC
Computer Science Bachelor
- Minor Courses
Doctorate Humanities, Social and Political Sciences (More Information at: )
- Subject Specialisation
Data Science Master
- Interdisciplinary Electives