Social media big data analytics: A survey

被引:197
|
作者
Ghani, Norjihan Abdul [1 ]
Hamid, Suraya [1 ]
Hashem, Ibrahim Abaker Targio [2 ]
Ahmed, Ejaz [3 ]
机构
[1] Univ Malaya, Fac Comp Sci & Informat Technol, Dept Informat Syst, Kuala Lumpur, Malaysia
[2] Taylors Univ, Sch Comp & Informat Technol, Subang Jaya 47500, Malaysia
[3] Univ Malaya, Ctr Mobile Cloud Comp Res, Kuala Lumpur, Malaysia
关键词
Big data; Social media; Machine learning; Analytics; SENTIMENT ANALYSIS; TWITTER; INTELLIGENCE; MANAGEMENT; FRAMEWORK; DISCOVERY; BEHAVIOR; TEXT;
D O I
10.1016/j.chb.2018.08.039
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Big data analytics has recently emerged as an important research area due to the popularity of the Internet and the advent of the Web 2.0 technologies. Moreover, the proliferation and adoption of social media applications have provided extensive opportunities and challenges for researchers and practitioners. The massive amount of data generated by users using social media platforms is the result of the integration of their background details and daily activities. This enormous volume of generated data known as "big data" has been intensively researched recently. A review of the recent works is presented to obtain a broad perspective of the social media big data analytics research topic. We classify the literature based on important aspects. This study also compares possible big data analytics techniques and their quality attributes. Moreover, we provide a discussion on the applications of social media big data analytics by highlighting the state-of-the-art techniques, methods, and the quality attributes of various studies. Open research challenges in big data analytics are described as well.
引用
收藏
页码:417 / 428
页数:12
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