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26 July 2018 Hadoop-based analysis model of network public opinion and its implementation
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Proceedings Volume 10828, Third International Workshop on Pattern Recognition; 108281H (2018) https://doi.org/10.1117/12.2502133
Event: Third International Workshop on Pattern Recognition, 2018, Jinan, China
Abstract
In order to perform network public opinion mining effectively, this paper proposes a Hadoop-based network public opinion analysis model, which applies HDFS file service system to store massive network data distributed, providing fault tolerance and reliability assurance; As the traditional K-means clustering method is too inefficient to process massive data during the clustering process, this paper adopts MapReduce-based K-means distributed topic clustering computation method to process the massive public opinion information through multi-computer cooperation efficiently; And to obtain the information of hot network public opinion in a certain period of time by the analysis of topic heat, and verify the effectiveness of the proposed method by experiments.
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Fei Wang, Peiyu Liu II, and Zhenfang Zhu III "Hadoop-based analysis model of network public opinion and its implementation", Proc. SPIE 10828, Third International Workshop on Pattern Recognition, 108281H (26 July 2018); https://doi.org/10.1117/12.2502133
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