Use of NLP and SEM in determining factors for e-service adoption

Abstract

With the emergence of digitalization on a large scale and the increasing penetration of the internet, there has been a need to perform analysis on a real-time basis. With the abundance of information available from various sources, user opinions when captured and analyzed properly can give interesting insights. It also reduces the efforts needed in conducting survey data for testing of any structural model. SEM technique being a “silver bullet” for estimating causal models, in this chapter, the authors have focused on explaining a new avenue of using structured equation modeling (SEM) through use of natural language processing (NLP) techniques on user opinion data available in various social platforms using an example of adoption of e-health services in India.