Propagation du buzz sur Internet -- Identification, analyse, modélisation et représentation dans un contexte de veille

Abstract : This thesis is in the context of strategic and competitive intelligence. Its goal is to develop tools and methods to identify, analyze, model and represent how buzz spread on the Internet. Any buzz has one or more starting point(s), i.e. primary source(s). The information is then passed on by secondary sources which may speed or slow down its spreading depending on their influence. Throughout the buzz lifecycle, the semantic content can evolve. To understand a buzz on the Internet, one needs to analyze what is said and qualify who speaks. This thesis will focus on two main points : a topological analysis of the sources (graph theory and networks), and an analysis of the textual content (corpus linguistics).
Keywords : Buzz Clustering
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Aurélien Lauf. Propagation du buzz sur Internet -- Identification, analyse, modélisation et représentation dans un contexte de veille. Linguistique. Institut National des Langues et Civilisations Orientales- INALCO PARIS - LANGUES O', 2014. Français. ⟨NNT : 2014INAL0019⟩. ⟨tel-01126913⟩

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