This master's thesis researches the linguistic image of love in lyrics found in Czech popular music based on the theoretical and methodological principles of cognitive linguistics. The theoretical section first characterizes the song lyrics of the band Lucie and then explores the context of cognitive linguistics. More specifically, this thesis characterizes the cognitivist concept and the application of metaphorical structures in both common language and creative texts. In the interpretational section, the concept of love is characterized by using a number of key lexemes which are used to express love in the Czech language. This section also describes the metaphorical and metonymical conceptualization of love in terms of the Czech image of the world. The conclusion deals with the profiles of the Czech concept of (erotic) love. This thesis mainly relies on theoretical and methodological tools included in the works of G. Lakoff, M. Johnson, J. Grady and M. Głąbska.

This thesis is focused on cluster analysis in the field of text mining and its application to real data. The aim of the thesis is to find suitable categories (clusters) in the transcribed calls recorded in the contact center of Česká pojišťovna a.s. by transferring these textual documents into the vector space using basic text mining methods and the implemented clustering algorithms. From the formal point of view, the thesis contains a description of preprocessing and representation of textual data, a description of several common clustering methods, cluster validation, and the application itself.