Clustering of Text for Structuring of Text Documents and Training of Language Models
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United States of America Patent
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Issued Date -
Oct 18, 2007
app pub date -
Nov 11, 2004
filing date -
Nov 21, 2003
priority date (Note) -
Abandoned
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Abstract
The present invention relates to a method, a text segmentation system and a computer program product for clustering of text into text clusters representing a distinct semantic meaning. The text clustering method identifies text portions and assigns text portions to different clusters in such a way that each text cluster refers to one or several semantic topics. The clustering method incorporates an optimization procedure based on a re-clustering procedure evaluating a target function being indicative of the correlation between a text unit and a cluster. The text clustering method makes use of a text emission model and a cluster transition model and makes further use of various smoothing techniques.
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