Natural language processing
Download in PDF- Lecturer: Laure Soulier (laure.soulier@sorbonne-univcersite.fr)
- Course code: UM4RBI20-Langage
- Student workload: 10h of lectures, h of tutorials, 16h of labs
- Credits: 3 ECTS
- Specialization tracks:
- Semester offered: S1 S2 S3 S4
- Language of instruction: French English
- Targeted audience: Eng. Sc. department Other :
- Localization : PMC Campus Other :
Course Overview
This course presents the major issues surrounding text processing, particularly automatic language processing. The aim of this course is therefore to present and manipulate the main models for analyzing, synthesizing, exploiting/querying, and producing documents. This course focuses on the notion of text element semantics (theme extraction, latent and contextual representations, etc.). Text classification and mining models (sentiment detection, etc.) as well as text enrichment using knowledge bases are also introduced. Finally, the latest advances in the field from a deep learning perspective are presented.
Mots-clés : Automatic text processing, automatic language processing, semantics, classification, deep learning.
Prerequisites
Students should have previously acquired the following prerequisites to follow this course:
- Python programming
- Concepts of statistics and machine learning
Intended Learning Outcomes
By the end of this course, students will be able to:
- Text data manipulation: encoding and utilization
- Extracting semantics from a text
- Leveraging deep learning techniques for text data manipulation
Indicative Teaching Sequence and Methods
| Week | C/TD/TP* | Content | Preparation | Learn.\ outc. |
|---|---|---|---|---|
| S1 | C1-5 | Presentation of technical methods for automatic language processing | ||
| S2 | TP1-5 | Practical implementation of the course |
- C/TD/TP respectively corresponds to lectures, tutorials and lab sessions.
Indicative Assessment of Intended Learning Outcomes (1st session)
| Week | Individ./group | In-person/remote | Type of exam | Evaluated outcomes | Scale % |
|---|---|---|---|---|---|
| S15 | Individual | In-person | Labs | All | 50% |
| S15 | Individual | In-person | Written | All | 50% |
2nde session
| Session | Individ./group | In-person/remote | Type of exam | Evaluated outcomes | Scale % |
|---|---|---|---|---|---|
| 2 | Individual | In-person | Written | 50% | |
| 1 | Individual | In-person | Labs | 50% |
Date of generation of this unit description: 14/01/2026
