Social media big data analytics: A survey

• Published in: Computers in human behavior 2019-12, Vol.101, p.417-428
• Main Authors: Ghani, Norjihan Abdul, Hamid, Suraya, Targio Hashem, Ibrahim Abaker, Ahmed, Ejaz
• Format: Article
• Language: English
• Subjects: Analytics; Big Data; Customer information files; Data analysis; Data management; Digital media; Machine learning; Mathematical analysis; Point of sale systems; Quality management; Social media; Social networks; Web 2.0
• ISSN: 0747-5632; 1873-7692
• DOI: 10.1016/j.chb.2018.08.039

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. •We review recent work on big social media analytics.•We provide classification of big data analytics on social media.•Recent advance in machine learning algorithms are discussed.•We highlight some of the research challenges.