Mood Cloud 2.0: Music Mood Browsing based on Social Networks
Cyril Laurier, Mohamed Sordo, Perfecto Herrera · 2009
This paper presents Mood Cloud 2.0, an application that allows to visualize and browse music by mood. With the first version of Mood Cloud [1], we could visualize in realtime the mood prediction of different Support Vector Machine models (one for each ’basic ’ mood). This helped to understand how well we can predict the mood evolution in time. Version 2.0 enables a new 2D visualization based social network data (see [2] for more details) and adds retrieval features. In this representation, we can visualize one’s collection, observe the mood evolution of a song in time, and draw a path to make a playlist or retrieve a song based its time evolution. This 2D space is flexible, one can choose between different templates. the most innovative one being the representation extracted from social