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Master Thesis

Analyse lexicale appliquée à une question ouverte à l'aide d'IRaMuTeQ

Abstract : IRaMuTeQ is the free successor to Alceste. They are two lexical analytics software. IRaMuTeQ offers many analyses. After a lemmatization of the corpus, it provides to count the number of times each lemma has been quoted. It also offers to compare between the modalities of a variable "out of corpus" the significant difference in the vocabulary used by each one by a Chi2 test. It is also possible to make a language typology using the hierarchical top-down classification developed by Max Reinert (1983). This method begins with a CA, then continues with the search for an optimal partition and results in the separation of the corpus into a desired class number. Some parameters (adjustable or not) must be understood in order to use the software correctly: the minimum number of text segments per class, the minimum frequency of an analyzed form, and the overlapping criterion. Thanks to this software, I analyzed data from the Consumer Trends survey developed by the CREDOC. The goal is to understand the mental and social representations of happiness through the open question “If I tell you “being happy”, what are you thinking about?”. The same question has been asked in 2013, and knowing that a typology cannot be aged, a system of AFC applied on a contingency table between lemmas and sociodemographic variables to be studied per year, allows to see the evolution of vocabulary between these two years, with the possibility to see these evolutions according to socio-demographic variables.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-02372217
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Submitted on : Wednesday, November 20, 2019 - 12:01:35 PM
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Chloé Six. Analyse lexicale appliquée à une question ouverte à l'aide d'IRaMuTeQ. Sciences du Vivant [q-bio]. 2019. ⟨dumas-02372217⟩

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