Skip to Main content Skip to Navigation
Master Thesis

Mise en place d’un système d’acquisition semi-automatique d’un corpus de données hétérogènes (images et textes) : application à la problématique de la sécurité alimentaire en Afrique de l'Ouest

Abstract : Food security early warning systems are set up to inform stakeholders in order to adapt and improve agricultural development. These systems mainly analyze satellite images (e. g. images of agricultural fields) and quantitative data (e. g. food market prices). However, few textual data are integrated into their processing, yet they are increasingly abundant and accessible on the Internet. They do not perfectly describe the geographical situation, but they could provide additional information or observations to satellite images. This thesis therefore proposes to acquire a corpus of articles from newspapers sites related to the theme of food security in Burkina Faso, to extract the spatio-temporal information contained in the corpus, and then to link them to the data contained in food security early warning systems.
Document type :
Master Thesis
Complete list of metadatas

Cited literature [45 references]  Display  Hide  Download

https://dumas.ccsd.cnrs.fr/dumas-02302235
Contributor : Uga - Bulles <>
Submitted on : Tuesday, October 1, 2019 - 11:39:28 AM
Last modification on : Wednesday, October 14, 2020 - 4:19:51 AM

File

SCHAEFFER Camille_M2_IDL.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : dumas-02302235, version 1

Citation

Camille Schaeffer. Mise en place d’un système d’acquisition semi-automatique d’un corpus de données hétérogènes (images et textes) : application à la problématique de la sécurité alimentaire en Afrique de l'Ouest. Sciences de l'Homme et Société. 2019. ⟨dumas-02302235⟩

Share

Metrics

Record views

70

Files downloads

151