A model of discovering novel terms and sentiments in texts

The paper considers a model focused on the design of information technology and systems that ensure discovering novel terms in the process of computer–human analysis of texts (hereinafter referred to as the information technology-oriented model, or the ITO model). A modification of the ITO model is proposed to describe discovering novel terms in scientific documents and sentiments in the messages of social network users. Consideration of these two models is presented in the paper as a step-by-step transformation of the spiral model of new knowledge generation. The main purpose of the paper is to describe the step-by-step transformation which is considered by the example of discovering novel terms in the texts of scientific documents and sentiments in the messages of social network users.