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Published in:
2011 | OriginalPaper | Chapter
One Method for On-Line News Event Detection Based on the News Factors Modeling
Authors : Hui Zhang, Guo-hui Li
Published in: Knowledge Engineering and Management
Publisher: Springer Berlin Heidelberg
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On-line news event detection is detecting the first news report of a news event from various news sources in real time. Related to on-line news event detection, in this article, the author firstly introduces a news representation method for the news factors modeling based on the time, locations, characters (or organization), contents, and so on, and deducing a method related to the features of different types of news factors to calculate the weight of those news factors. Considering the insufficient of the traditional detection algorithms, then the author presents the algorithm of Micro-clusters-based on-line news event detection with Window-Adding and conducts an experiment based on news data which is collected in reality. The author achieved a satisfied experimental result verifying the validity of the proposed method.