Review on Practical Applications of Social Media Data Mining

Sibi Mathew

Abstract: Social media accommodates about 5 billion users' worldwide sharing events, comments, and sentiments, multimedia, documents, etc. It handles large volumes of data on a daily bases. There has been a wide variety of research evolving around this huge chunk of data. Even though it put forward the question of privacy, still ongoing research proves its applications. This research was conducted to examine the tremendous social and commercial value of social media data. This review examines previous literature and existing applications from a practical perspective. It provides an overview of commonly used pipelines when building social media-based applications and describes available analytical techniques such as topic analysis, time series analysis, sentiment analysis, and network analysis. We then present the impact of such applications in three different areas including disaster management, healthcare, business, etc. Finally, we enumerate existing challenges and suggest possible future research on the area.

Keywords: Social media, prediction analysis, applications