ABSTRACT
This chapter introduces the major techniques and tools for Social media analytics (SMA). It discusses the common processes of SMA specified in relevant studies: identifying data sources, data acquisition, data analysis, and representing results. Social media analytics has become one of the core areas within the extensive field of analytics. The content of social media comes in different forms of repositories. Social networks have evolved over the decades by employing digital media in the modern day. Regardless of medium, social media outlets capture tremendous amounts of data. Data sources could be solely textual content or aggregating multiple data sources, including social networking services, blogs, and Really Simple Syndication feeds, supplemented by various types of data, such as geospatial data, video data, and communication data. Value-added data are cleaned data that have been augmented with additional knowledge gleaned from the analysis. Sentiment analysis, topic modeling, and visual analytics are the primary analysis techniques of social media data.
