Recognizing Event in Short Text Based on Decision Tree

Jing Ya Lu; Wan Li Zuo; Liang Zhu

doi:10.4028/www.scientific.net/AMM.571-572.237

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 571-572Recognizing Event in Short Text Based on Decision...

Recognizing Event in Short Text Based on Decision Tree

Abstract:

Mining newsworthy events from a large number of microblogging information is not only the primary problem that several big microblogging websites need to solve, but also a new research field in micro-information age. For now, a lot of study about even recognizing has been made at home and abroad, but relatively rarely contrapose short text (microblogging message). The paper considers newsworthy event recognizing in short text as classification problem, utilizes the decision tree classification algorithm in data mining, sufficiently mines features of event in short text, and then recognizes the newsworthy event in microblogging. In the last, we verify the effect of the model.

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Periodical:

Applied Mechanics and Materials (Volumes 571-572)

Pages:

237-240

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.571-572.237

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Online since:

June 2014

Authors:

Jing Ya Lu, Wan Li Zuo*, Liang Zhu

Keywords:

Data Mining (DM), Decision Tree Classification, Event Recognizing, Short Text

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* - Corresponding Author

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