Keyword: «term extraction»

This article describes the project of building a multimodal medical system (MMIS). The MMIS development project is based on the idea of analyzing the evolution of medical terminology. The main essence of this idea is to upload data from the PubMed medical electronic library, form a corpus of texts based on a search query, analyze the uploaded texts, highlight potentially new medical terms, and form a dictionary of terms. Based on the glossary of terms, the change in terminology is studied, trends in terminology changes, trends in interest in terminology are built.

The article conducted a study of the social network Twitter as a source of important information for public health. Potentially tonal words of socio-psychological topics from Russian-language messages on Twitter are identified and described. The semantic analysis of the text was carried out using the Advego program. Particular attention is paid to the overall assessment of the emotionality of the content, to identify which the authors propose to introduce an index of conceptual significance. The authors concluded that it is possible to capture user sentiment in near real time, which can be an important aid to government, private organizations, and the public with information during pandemics.