Abstract
This article designs and implements a Hadoop-based network public opinion monitoring system. The system uses HDFS as the underlying storage system, and builds a distributed database based on HBase on it for unified storage and management of public opinion information. The paper will introduce a Hadoop-based microblog public opinion monitoring system that can mine and analyse large-scale collected data, realize the discovery and tracking of public opinion hot topics, and the social network analysis of Weibo. The analysis results are visualized and presented for the party. Government agencies, large enterprises and other units and organizations discover sensitive information in a timely manner, grasp public opinion hotspots, grasp public opinion trends, and provide automated, systematic and scientific information support in response to public opinion crises.
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