Time Stamp Based Mining in Multiple Asynchronous Text Sequences

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Provided by: International Journal of Scientific and Research Publication (IJSRP)
Topic: Data Management
Format: PDF
Text sequences are ubiquitous, multiple text sequence are often related to each other by sharing common topics. The interactions among these sequences provide more information to derive more meaningful topics. Discovering valuable knowledge from a text sequence involves extracting topics from the sequence with both semantic and temporal information. The method is relied on a fundamental assumption that different sequences are always synchronous in time. The documents from different sequences on the same topic have different time stamp and there is no guarantee that the articles covering the same topic are indexed by the same time stamps.
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