Change of Topics over Time - Tracking Topics by their Change of Meaning
KDIR 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL（2009）
摘要
In this paper we present a new approach to the analysis of topics and their dynamics over time. Given a large amount of news text on a daily basis, we have identified "hotly discussed" concepts by examining the contextual shift between the time slices. We adopt the volatility measure from econometrics and propose a new algorithm for frequency-independent detection of topic drift.
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关键词
Topic Tracking,Change of Meaning,Conceptual Drift,Volatility,Time-sliced Corpora,Text Mining
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