Abstract
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.
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhang, H., Li, Gh. (2011). One Method for On-Line News Event Detection Based on the News Factors Modeling. In: Wang, Y., Li, T. (eds) Knowledge Engineering and Management. Advances in Intelligent and Soft Computing, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25661-5_55
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DOI: https://doi.org/10.1007/978-3-642-25661-5_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25660-8
Online ISBN: 978-3-642-25661-5
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