Vers une approche Visual Analytics pour explorer les variantes de sujets d'un corpus

Authors

N. Médoc, M. Ghoniem, and M. Nadif

Reference

in 16ème conférence Extraction et Gestion des Connaissances (EGC 2016), Reims, France, 18-22 janvier 2016, RNTI-E-30, pp. 539-540, 2016

Description

Our purpose is to implement a Visual Analytics tool for exploring topic variants in text corpora. The overlapping bi-clustering methods extract multiple topics from the documents, but the interpretation of the results remains difficult. We make the assumption that bi-cluster overlaps are articulation points between high-level topics, and their multiple variants and viewpoints.We propose to extract and visualize a hierarchical structure of bi-cluster overlaps, allowing to explore the corpus and to discover unsuspected viewpoints.

Link

http://editions-rnti.fr/?inprocid=1002220&lg=en