A Survey of Social Media, Big Data, Data Mining, and Analytics

J. Oliverio
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引用次数: 22

Abstract

Big Data is a very popular term today. Everywhere you turn companies and organizations are talking about their Big Data solutions and Analytic applications. The source of the data used in these applications varies. However, one type of data is of great interest to most organizations, Social Media Data. Social Media applications are used by a large percentage of the world’s population. The ability to instantly connect and reach other people and companies over distributed distances is an important part of today’s society. Social Media applications allow users to share comments, opinions, ideas, and media with friends, family, businesses, and organizations. The data contained in these comments, ideas, and media are valuable to many types of organizations. Through Data Mining and Analysis, it is possible to predict specific behavior in users of the applications. Currently, several technologies aid in collecting, analyzing, and displaying this data. These technologies allow users to apply this data to solve different problems, in different organizations, including the finance, medicine, environmental, education, and advertising industries. This paper aims to highlight the current technologies used in Data Mining and Analyzing Social Media data, the industries using this data, as well as the future of this field.
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社交媒体、大数据、数据挖掘和分析调查
如今,大数据是一个非常流行的术语。无论你走到哪里,公司和组织都在谈论他们的大数据解决方案和分析应用程序。这些应用程序中使用的数据源各不相同。然而,有一种类型的数据是大多数组织非常感兴趣的,那就是社交媒体数据。世界上很大一部分人口都在使用社交媒体应用程序。即时连接和联系分布在不同距离上的其他人和公司的能力是当今社会的重要组成部分。社交媒体应用程序允许用户与朋友、家人、企业和组织分享评论、观点、想法和媒体。这些评论、想法和媒体中包含的数据对许多类型的组织都很有价值。通过数据挖掘和分析,可以预测应用程序用户的特定行为。目前,有几种技术可以帮助收集、分析和显示这些数据。这些技术允许用户应用这些数据来解决不同组织中的不同问题,包括金融、医药、环境、教育和广告行业。本文旨在强调当前在数据挖掘和分析社交媒体数据中使用的技术,使用这些数据的行业,以及该领域的未来。
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来源期刊
CiteScore
17.00
自引率
16.70%
发文量
31
期刊介绍: The Journal of Industrial Integration and Management: Innovation & Entrepreneurship concentrates on the technological innovation and entrepreneurship within the ongoing transition toward industrial integration and informatization. This journal strives to offer insights into challenges, issues, and solutions associated with industrial integration and informatization, providing an interdisciplinary platform for researchers, practitioners, and policymakers to engage in discussions from the perspectives of innovation and entrepreneurship. Welcoming contributions, The Journal of Industrial Integration and Management: Innovation & Entrepreneurship seeks papers addressing innovation and entrepreneurship in the context of industrial integration and informatization. The journal embraces empirical research, case study methods, and techniques derived from mathematical sciences, computer science, manufacturing engineering, and industrial integration-centric engineering management.
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