Can Text Mining Enrich Data on Patient Characteristics on Dropout Cases in an Email-Based Alcohol Intervention?

In this M.Sc. thesis, text mining in the for of Linguistic Inquiry and Word Count (LIWC) was used to assess linguistic differences between dropouts and completers of a written online alcohol intervention. Next to that, sociodemographic information between the groups was compared as well to find information that can meaningfully discriminate between participants at the risk of dropout.