La comparaison de la lecture humaine avec la lecture machine dans le Système de la Nature de d’Holbach

Author: 
Date created: 
2017-07-07
Identifier: 
etd10242
Keywords: 
Data mining
Topic modeling
Content analysis
Discursive formation
Materialism
Thematic studies
Abstract: 

In this empirical study, I explored thematic patterns in d’Holbach’s Système de la Nature. The overall purpose of my thesis was to compare the thematic structure of the corpus, in terms of co-occurrence and collocations of the 8 main themes, in human-reading and machine-reading. To achieve this, I used two methods: First, I used a qualitative data analysis software (NVivo 10) to do the comparative analysis of the main themes in consideration of examining the density of the appearance of each theme together. Next, I used RStudio Mallet software package for topic modeling to compare the co-occurrence of these main themes and to discover topics from the corpus. My results revealed that human-reading and machine-reading share only 12.5% of similarity in terms of semantically correlated themes. Additionally, topic models identified some marginalized themes associating with the philosophy of materialism, such as Cerveau, Nation and Vertu.

Document type: 
Thesis
Rights: 
This thesis may be printed or downloaded for non-commercial research and scholarly purposes. Copyright remains with the author.
File(s): 
Senior supervisor: 
Jorge Calderon
Department: 
Arts & Social Sciences: Department of French
Thesis type: 
(Thesis) M.A.
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