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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Text Segmentation by Clustering Cohesion
verfasst von : Raúl Abella Pérez, José Eladio Medina Pagola
Erschienen in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Verlag: Springer Berlin Heidelberg
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An automatic linear text segmentation in order to detect the best topic boundaries is a difficult and very useful task in many text processing systems. Some methods have tried to solve this problem with reasonable results, but they present some drawbacks as well. In this work, we propose a new method, called ClustSeg, based on a predefined window and a clustering algorithm to decide the topic cohesion. We compare our proposal against the best known methods, with a better performance against these algorithms.