Graphical document representation for french newsletters analysis - Université de Rennes Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Graphical document representation for french newsletters analysis

Résumé

Document analysis is essential in many industrial applications. However, engineering natural language resources to represent entire documents is still challenging. Besides, available resources in French are scarce and do not cover all possible tasks, especially in specific business applications. In this context, we present a French newsletter dataset and its use to predict the good or bad impact of newsletters on readers. We propose a new representation of newsletters in the form of graphs that consider the newsletters' layout. We evaluate the relevance of the proposed representation to predict a newsletter's performance in terms of open and click rates using graph analysis methods.

Dates et versions

hal-03966518 , version 1 (31-01-2023)

Identifiants

Citer

Alexis Blandin, Farida Saïd, Jeanne Villaneau, Pierre-François Marteau. Graphical document representation for french newsletters analysis. DocEng '22: ACM Symposium on Document Engineering 2022, Sep 2022, San Jose California, France. pp.1-8, ⟨10.1145/3558100.3563856⟩. ⟨hal-03966518⟩
23 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More