Research on Media Data Analysis System Based on Big Data Technology

Qiang Lin, Xiaohan Gao, Yang Guo, Xilin Zhang
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Abstract

The system designed in the paper uses the method of collecting Twitter tweets to test the collection system. The specific collection content is tweet collection based on keywords, testing the collection rate of tweets and system stability. In the test, the bandwidth of each collection node is limited by using bandwidth limiting software to simulate different network agent environments. The collection system in different environments is tested by changing the collection task and the bandwidth limit of each collection node. The results prove that the algorithm proposed in the paper can significantly improve the evaluation accuracy of media data, and has a significant effect on analyzing the collected objects.
基于大数据技术的媒体数据分析系统研究
本文设计的系统采用收集Twitter tweets的方法对收集系统进行测试。具体采集内容为基于关键词的推文采集,测试推文的采集率和系统稳定性。在测试中,通过带宽限制软件模拟不同的网络代理环境,对每个采集节点的带宽进行限制。通过改变采集任务和每个采集节点的带宽限制,对不同环境下的采集系统进行测试。实验结果证明,本文提出的算法能够显著提高媒体数据的评价精度,对采集对象的分析效果显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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