Embedding Emotions Within Automatically Generated Brand Names

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 Propriete 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.