A General Overview of Recent Big Data Applications and Social Media Platforms

Author:

,Upadhyay Lata V.

Abstract

The exponential expansion of technology in recent years and rising data production are primarily changing the way businesses and individual industries are working. Technical advances have led to a major amount of data related to various fields which is currently generated in our daily life. Governments, businesses, and research institutions are beginning to understand how crucial it is to use this data to further their missions. As a result, Big Data research has become increasingly popular among academics working in various fields of study. We provide an overview of big data and its potential applications across a range of industries in this paper. Social media feeds are full of impending for analysis and data mining. Platform providers are beginning to limit unrestricted access to this kind of data as they become aware of its potential. This change presents significant difficulties for social inventers and other nonprofit researchers that examine public posts in an effort to better understand human behavior and enhance human welfare. This paper pursues to outline some of the topical modifications in social media data analysis. Some of the most influential and popular social media platforms are also discussed.

Publisher

International Council for Education Research and Training

Reference12 articles.

1. Matilda, S. (2017). Big data in social media environment: A business perspective. In Decision management: Concepts, methodologies, tools, and applications (pp. 1876-1899). IGI Global.

2. Hassan, M. K., El Desouky, A. I., Elghamrawy, S. M., & Sarhan, A. M. (2019). Big data challenges and opportunities in healthcare informatics and smart hospitals. Security in smart cities: Models, applications, and challenges (pp. 3-26).

3. Upadhyay, L. V. (2020). Big data analytics in healthcare industry.

4. Miah, S. J., Vu, H. Q., Gammack, J., & McGrath, M. (2017). A big data analytics method for tourist behaviour analysis. Information and Management, 54(6), 771-785. https://doi.org/10.1016/j.im.2016.11.011

5. Syed, A., Gillela, K., & Venugopal, C. (2013). The future revolution on big data. Future, 2(6), 2446-2451.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3