An illustrated approach to Soft Textual Cartography

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Serval ID
serval:BIB_3CE56189872A
Type
Article: article from journal or magazin.
Collection
Publications
Title
An illustrated approach to Soft Textual Cartography
Journal
Applied Network Science
Author(s)
Ceré R., Egloff M.
ISSN
2364-8228
ISSN-L
2364-8228
Publication state
Published
Issued date
12/2018
Peer-reviewed
Oui
Volume
3
Number
27
Pages
NA
Language
english
Abstract
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.
Keywords
Textual Cartography, Complex Network, Topic modelling, Thematic Exploration, Soft Clustering, Text Mining, GIS, Membership Association, Wikipedia.
Open Access
Yes
Create date
31/05/2018 13:04
Last modification date
20/08/2019 13:33
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