Topic segmentation and indexation in a media watch system.

The goal of this paper is the description of our current work in terms of topic segmentation and indexation and the comparison of their performance with the story boundaries and topics manually chosen by a professional media watch company. The segmentation module explores the typical structure of a broadcast news show, namely by cues provided by the audio pre-processing module, but an improved performance could be achieved by taking its contents into account. The topic indexation module was retrained for the media watch topics. The comparison showed how different criteria, together with manual labeling inconsistencies, may affect the performance.