Since the advent of Web 2.0 and online social networking, social media platforms establish and foster general purpose or interest-based communities that give their users the power to actively contribute user-generated contents and connect and interact with others have exploded in popularity. As a result, social media has become one unique, novel source of big data, providing great opportunities and magnificent potential for research to analyze and understand human behavioral patterns or to develop advanced analytics techniques that analyze social media data for business decision support or more effective social media management. For example, individuals increasingly share on social media platforms their consumption experiences with, preferences for, and opinions about a wide range of products, entities (e.g., organizations, celebrities, politicians), emerging events, public policies, and so on. This vast amount of user opinions provides a valuable foundation for extracting business intelligence for crucial decision support. Organizations increasingly rely on these user opinions to answer such questions as: What do the customers say about us and our competitors? What do they like or dislike about our products? What causes customers to become dissatisfied?