The main purpose of the paper is the presentation of the new concept of human decision-making process modelling using an analogy with the Automatic Control theory. From the authors' point of view this concept allows to develop and improve the theory of decision-making in terms of the study and...

Simulation Model for the Decision-Making Support of the Human-Machine Systems Operator was developed. The term of operator's professional confidence as an index of the operator's ability to maintain or for a certain time lead to a stabile state of the Human-Machine Systems by performing the...

This paper presents the approach of modelling the system of customer's contextual expectations. The novelty consists in the systematic use of the different technic. The first technic – the theory of Benefits Language as an instrument of forming Concept of Benefits for the studied product. The...

This paper presents the algorithm of modelling and analysis of Latent Semantic Relations inside the argumentative type of documents collection. The novelty of the algorithm consists in using a systematic approach: in the combination of the probabilistic Latent Dirichlet Allocation (LDA) and...

This paper presents the Methodology of Improving the Accuracy in Text Classification in Light of Modelling the Latent Semantic Relations (LSR). The aim of this Methodology to find the ways of eliminating the Limitations of Discriminant and Probabilistic methods for LSR revealing and customize...

Methodology of Constructing and Analyzing the Hierarchical structure of the Contextually-Oriented Corpora was developed. The methodology contains the following steps: Contextual Component of the Corpora's Structure Building; Text Analysis of the Contextually-Oriented Hierarchical Corpus. Main...

Brand knowledge is determined by customer knowledge. The opportunity to develop brands based on customer knowledge management has never been greater. Social media as a set of leading communication platforms enable peer to peer interplays between customers and brands. A large stream of such...

In this chapter, the authors present the results of the development the text-mining methodology for increasing the reliability of the functioning of Socio-technical System (STS). Taking into account revealed strengths and weaknesses of Discriminant and Probabilistic approaches of Latent Semantic...

This paper presented the methodology of Textual Content Classification, which is based on a combination of algorithms: preliminary forming a contextual framework for the texts in particular problem area; manual creation of the Hierarchical Sentiment Dictionary (HSD) on the basis of a...