Text segmentation and identification of topic using language models
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United States of America Patent
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Apr 18, 2000
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N/A
app pub date -
Nov 25, 1997
filing date -
Sep 9, 1997
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Abstract
System for segmenting text and identifying segment topics that match a user-specified topic. Topic tracking system creates a set of topic models from training text containing topic boundaries using a clustering algorithm. User supplies topic text. System creates a topic model of the topic text and adds the topic model to the set of topic models. User-supplied test text is segmented according to the set of topic models. Segments relating to the same topic as the topic text are selected.
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