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Visualizing Concepts overTime
Translantis Project 

Digital Humanities Approaches to Reference
Cultures: The Emergence of the United States
in Dutch Public Discourse 1890-1990
Carlos Martinez-Ortiz,Tom Kenter, Melvin Wevers,
Pim Huijnen, JaapVerheul, and Joris van Eijnatten
DESIGN AND
IMPLEMENTATION OF SHICO
SHICO: SHIFTING
CONCEPTS OVERTIME
• The emergence and transformation of
concepts, ideas, and thoughts
• How can we study concepts in large
digitized corpora?
OUR APPROACH
• Data: >600.000 digitized
newspaper issues from the
Dutch National Library
• Multi-dimensional word-
vector space using Google’s
word2vec (word embeddings)
• Semantic and syntactic
information representation by
geometry (Baroni &
Kruszweksi, 2014;Wijaya &
Yeniterzi, 2011)
1950 1960 1970
1 model = 10 years
40 models for period
between 1950-1990
TRACING CONCEPTS
• Concept is a network of words
• Find closely related words to seed word
based on distance
• One or more words as entry-points into
concept
• Weighting based on frequency + sum distance
• Tracing concepts: which words remain and
disappear from network
• See: Kenter,Wevers, Huijnen, de Rijke (2015)
“Ad Hoc Monitoring of Vocabulary Shifts
over Time”
expand to
semantic graph
with
semantic space
for time t+1
vocabulary at time t
prune
t = t + 1
VISUALIZATION
• ADD SCREENSHOT INTERFACE
THREETYPES OF
VISUALIZATIONS
• Stream Graphs
• Network Graphs
• Vocabularies (lists of words in
network)
Propaganda: Adaptive & Non-Adaptive
Non-adaptive Model
Adaptive Model
Propaganda: Adaptive & Non-Adaptive
Propaganda: Adaptive & Non-Adaptive
DOPING: STREAM GRAPH
DOPING:VOCABULARIES
DOPING: NETWORK GRAPHS
INTEGRATION
DO-IT-YOURSELF
• Code / how-to-manual is on Github:
• https://github.com/NLeSC/ShiCo
• Models are also on Github
• Easy to integrate into other tools
Thank you!

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The Design and Implementation of Shico