Shallow Learning vs. Deep Learning in Social Applications

The use of shallow and deep learning techniques in the social domain is examined in this chapter, with particular attention to applications like sentiment analysis, opinion mining, and social network analysis. The effectiveness of different methods will be contrasted, and the chapter will end with some observations, suggested unresolved open problems, and possible future research directions. This completes the whole storytelling on shallow and deep learning techniques, together with the professional fine-tuning between both techniques to deal with the social domain. Ending the chapter with open problems will add more beauty to the current chapter to attract interested researchers to look in more depth for more possibilities to widen this rich field of human knowledge.