Number of hours
- Lectures 12.0
- Projects -
- Tutorials -
- Internship -
- Laboratory works 12.0
- Written tests -
ECTS
ECTS 3.0
Responsible(s)
Didier SCHWAB
Content(s)
Contenu en anglais
Natural Language Processing is a field at the crossroads of linguistics, computer science and artificial intelligence, which aims to give machines the ability to process natural language for applications as diverse as information retrieval on the web, text mining, machine translation and dialogue. Recent advances in machine learning have brought this field to the forefront, and it is now crucial for many companies to master the technologies derived from it. In this course, students will be introduced to the field of NLP, its main issues, approaches and evaluation methods. We will detail some of the expert and machine-learning approaches that are at the heart of certain TALN applications and tasks. Finally, students will acquire basic skills to build TALN systems for some of the major problems of financial TALN: language modeling, text classification, semantics/sentiment analysis through practical work on financial data (when available).
Test
Evaluation : 33% of TP notés and 67% of Examen Ecrit (2h00)
Resit : Examen Ecrit (2h00)
Continuous assessment: supervised practical work
NORMAL SESSION :
Examination type: written
Duration: 2 hours
Authorized materials and documents: 1 sheet of A4 paper, both sides handwritten
No specific room required
SECOND SESSION :
Type of exam: written
Time: 2 hours
Authorized materials and documents: 1 sheet of A4 paper, handwritten, double-sided.
No specific room required
Calculation of grade :
N1 = 1/3 supervised practical work + 2/3 written exam
N2 = written exam
Calendar
The course exists in the following branches:
- Curriculum - Financial Engineering - Semester 9
Additional Information
Course ID : WMMFMB13
Course language(s): 
You can find this course among all other courses.