A hybrid mixed methods design of qualitative enhancement and reciprocal feedback loop for augmented text classification

A novel mixed-methods design with a Reciprocal Feedback Loop that aims to enhance human sense-making and improve the inference quality of augmented text classification and the conditions under which this design can improve the inference quality, and the benefit of reciprocal human–machine learning are discussed.