Method and system for off-line detection of textual topical changes and topic identification via likelihood based methods for improved language modeling
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United States of America Patent
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Mar 4, 2003
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N/A
app pub date -
Nov 8, 1999
filing date -
Nov 8, 1999
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Abstract
A system (and method) for off-line detection of textual topical changes includes at least one central processing unit (CPU), at least one memory coupled to the at least one CPU, a network connectable to the at least one CPU, and a database, stored on the at least one memory, containing a plurality of textual data set of topics. The CPU executes first and second processes in first and second directions, respectively, for extracting a segment having a predetermined size from a text, computing likelihood scores of a text in the segment for each topic, computing likelihood ratios, comparing them to a threshold, and defining whether there is a change point at the current last word in a window.
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