Abstract
The work is devoted to the development of an IoT ecosystem model for the semantic analysis of Internet posts. The need to create an IoT ecosystem that will allow offline assessment of the emotional state of Internet posts is substantiated. The work provides a graphic representation of the IoT ecosystem and describes its components. The functional model of the IoT system of semantic analysis of Internet posts is described. The principle of learning a neural network, which is the basis of the operation of the IoT system, is presented. The algorithm of the interlocutor bot, which is a means of receiving Internet posts into the system database, is given. Verification of the work of the IoT system of semantic text analysis was carried out. The result of emotional coloring was obtained with a probability of 94%. Keywords 1 Semantic Text Analysis, IoT Ecosystem Architecture, Neural Network, IT Technologies