Emotion Analysis on Social Media: Natural Language Processing Approaches and Applications

摘要: The rapidly growing online activities in the Web motivate us to analyze reactions of different emotional catalysts on various social networking substrates. Thus, present chapter, concepts, motivations, approaches and applications emotion analysis are discussed order achieve main challenging tasks such as feature representation schema, classification, holder topic detection identifying their co-references, etc. these salient points cover while analyzing emotions media. Additionally, a prototype is also described assessed emotions, its collective actions based users topics, components association from available data sets English Bengali case studies. Experiments final outcomes highlight promise approach some open research problems.