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Framework for Social Media Big Data Quality Analysis

机译:社交媒体框架大数据质量分析

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Unlimited amount of unstructured data is being captured and analyzed over social media. The paper highlights the issue of lack of standard quality control approaches that could be utilized for all social media sites. This is due to the variety of formats of big data acceptable over these sites. The issue reveals a challenge not only in the capture of big data but also in the analysis and yield of valuable data, which affect decision-making. The paper reviews a collection of archived documents in the field of big data and social media. This paper presents a framework identifying the issues of quality analysis of big data on social media, examining current techniques used by social media companies to capture and analyze big data, and mapping social media sites and the appropriate combinations of big data capture and analysis techniques with the data quality control requirements.
机译:在社交媒体上被捕获并分析无限量的非结构化数据。本文突出了可用于所有社交媒体网站的标准质量控制方法问题。这是由于这些网站上可接受的大数据种类的种类。问题不仅在捕获大数据方面揭示了挑战,而且揭示了影响决策的有价值数据的分析和产量。本文审查了大数据和社交媒体领域的归档文件集合。本文介绍了一个框架,识别社交媒体大数据质量分析问题,检查社交媒体公司使用的现有技术捕获和分析大数据,以及映射社交媒体网站以及大数据捕获和分析技术的适当组合数据质量控制要求。

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