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2014 | OriginalPaper | Chapter

Research on Micro-Blog Information Perception and Mining Platform

Authors : Xing Wang, Fei Xiong, Yun Liu

Published in: Advanced Technologies, Embedded and Multimedia for Human-centric Computing

Publisher: Springer Netherlands

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Abstract

To predict the tendency of Micro-blog information dissemination, provide the early warning of the Internet emergencies, and contribute to the content security of micro-blog, the paper offers a platform for Micro-blog information perceiving and mining. This platform is an integration of Micro-blog data collection and processing module, topic detection and tracking module, user behavior analysis module, trend prediction module, etc. It could access and analyze micro-blog information automatically, leading a positive significance to grasp the emergencies on micro-blog. This paper puts forward methods based on the Latent Dirichlet Allocation (LDA) document clustering and hot topics prediction, which could analysis and predict the micro-blog data effectively, avoiding the problems in the traditional algorithm. Also, these methods have a higher accuracy for clustering and prediction.

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Metadata
Title
Research on Micro-Blog Information Perception and Mining Platform
Authors
Xing Wang
Fei Xiong
Yun Liu
Copyright Year
2014
Publisher
Springer Netherlands
Book
Advanced Technologies, Embedded and Multimedia for Human-centric Computing

Print ISBN: 978-94-007-7261-8

Electronic ISBN: 978-94-007-7262-5

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-94-007-7262-5_85