Construction of topics and clusters in Topic Detection and Tracking tasks

Abstract

This paper discussed the construction of topics to be tracked and clusters to be detected in Topic Detection and Tracking (TDT) tasks. Single Pass Clustering was used to cluster the news articles. As a result, the TDT tasks contained a combination of a good and poor clustering performance based on the F1-measure. Therefore, the selection of clusters and topics from the clustering experiment is important in the Tracking and the Detection tasks. It has contributed towards the user experimental design.