دانلود کتاب تجزیه و تحلیل داده‌های اجتماعی

Many organizations see knowledge production from an ever-increasing amount of social data as an increasingly important capability that can complement the traditional analytics sources. Social data analytics can help organizations improve their processes, personalize their products, and discover hidden insights to their empower business performance. Examples include extracting knowledge and deriving insights from social data to improve government services, predict intelligence activities, personalize advertisements during elections and improve national security and public health. Understanding social data can be challenging as the analysis goal can be subjective, i.e., it depends on the analyst’s perspective. In this context, social data analytics is considered an appropriate metaphor as it provides the backend to facilitate understanding and surfacing insights embedded within the data.