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Embedding Emotions Within Automatically Generated Brand Names

Denis Brouillet 1 Anne Laurent 2 Bénédicte Laurent 3 Sophie Martin 4 Mathieu Roche 5
2 TATOO - Fouille de données environnementales
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
5 TEXTE - Exploration et exploitation de données textuelles
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Brand names are everywhere and are more and more important due to the rate which new products are issued at. For instance, the French institute INPI (Institut National de la Propriété Industrielle) in charge of name registration collects more than two millions of new names every year. Names have been recognized to embed many characteristics of the products or company they are related to. For instance, a name like "discipline" can invoke feelings like "unhappiness". However, they have not been extensively studied, neither from the point of view of cognitive science/linguistics nor from the computer science point of view. For this reason, the automatic generation of brand names is a very difficult task, which has not been given much attention yet. In this paper, we thus propose a new method to automatically embed emotions within brand names.
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  • HAL Id : lirmm-00588603, version 1

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Denis Brouillet, Anne Laurent, Bénédicte Laurent, Sophie Martin, Mathieu Roche. Embedding Emotions Within Automatically Generated Brand Names. KEER: Kansei Engineering and Emotional Research, Mar 2010, Paris, France. ⟨lirmm-00588603⟩

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