B5R50425 - Big Data for Development: Text Analysis - Cours magistral

With the recent digitisation of vast text corpora and significant advancements in natural language processing, development economists can now address a wide range of novel research questions. This course begins with an introduction to collecting, processing, and representing numerically text data, followed by an exploration of specialised deep learning techniques to model the semantic and structural structures of language. The course prioritises intuitive understanding and practical implementation using Python. By the end of the course, students will be able to leverage a variety of data sources for empirical work, including documents, tweets, speeches, and news transcripts, for tasks such as topic modelling, sentiment analysis, document similarity, named entity recognition, and more.

Informations sur l'espace de cours

Nom	Big Data for Development: Text Analysis
Nom abrégé	UP1-C-ELP-B5R50425-01
Enseignants	Chauvet Lisa, Gorin Clement
Groupes utilisateurs inscrits	Consultation des ressources, participation aux activités : [2025] EES - Matière (M2-S2) : Big Data for Development: Text Analysis (groups-matiB5R50425-2025) Consultation des ressources uniquement : aucune cohorte inscrite.

Rattachements à l'offre de formation

Élément pédagogique	UP1-C-ELP-B5R50425 - Big Data for Development: Text Analysis
Chemin complet	> Année 2025-2026 > Paris 1 > École d'économie de la Sorbonne > M2I Sustainable Development Economics (FI) (en anglais) > Semestre 4 > UE2 Cours de spécialisation > Big Data for Development: Text Analysis