An illustrated approach to Soft Textual Cartography

Détails

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Etat: Public
Version: de l'auteur
ID Serval
serval:BIB_3CE56189872A
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
An illustrated approach to Soft Textual Cartography
Périodique
Applied Network Science
Auteur(s)
Ceré R., Egloff M.
ISSN
2364-8228
ISSN-L
2364-8228
Statut éditorial
Publié
Date de publication
12/2018
Peer-reviewed
Oui
Volume
3
Numéro
27
Pages
NA
Langue
anglais
Résumé
Soft textual cartography is an approach aimed at extracting clusters of regions taking into account both their spatial relationships and a their textual description within a corpus. The strategy consists in constructing a complex weighted network, reflecting the geographical layout, and whose nodes are further characterized by their thematic dissimilarity, extracted form topic modelling. A soft k-means procedure, taking into account both aspects through expectation maximisation on Gaussian mixture models and label propagation, converges towards a soft membership, to be further compared with expert knowledge on regions. Application on the
Wikipedia pages of Swiss municipalities demonstrate the potential of the approach, revealing textual autocorrelation and associations with official classifications. The synergy of the spatial and textual aspects appears promising in topic interpretation and geographical information retrieval, and able to incorporate expert knowledge through the choice of the initial membership.
Mots-clé
Textual Cartography, Complex Network, Topic modelling, Thematic Exploration, Soft Clustering, Text Mining, GIS, Membership Association, Wikipedia.
Open Access
Oui
Création de la notice
31/05/2018 14:04
Dernière modification de la notice
20/08/2019 14:33
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