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| Research on the Detection of Sudden Events in News Stories of Online Information |
| Yao Zhanlei, Xu Xin |
| Depatment of Informatics, East China Normal University, Shanghai 200241, China |
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Abstract Focusing on how to capture sudden events timely and accurately, this paper introduces an idea of the Distance between two Segmental Words(DSW), and devises a model for detecting the sudden events in Internet news. This model mainly comprises two parts, as generating the Hot Element of Terms(HET) and detecting new words. Specifically, it uses the improved TF-PDF algorithm for capturing the Element of Terms(ET),which concerns to generate the Hot Element of Terms, and seeks the status quo of distribution among these terms based on the Distance between two Segmental Words, then with the relatively stable combination among these terms to achieve event detection. Experiment shows that the model has a high sensitivity on detecting the sudden events.
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Received: 21 March 2011
Published: 11 June 2011
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