Monitoring Information About International Conferences Using Natural Language Processing

Research in the field of solving applied problems of extracting information and text using natural language processing continues to be used worldwide in a variety of areas. The development trend of research in the field of solving applied problems of extracting information and text using natural language processing in the field of working with publication events of scientific articles is analyzed in this article The problem of automated search for information about international conferences is considered. A solution to the problem is proposed, including the extraction and processing of unstructured text, the work with templates for general-level sentence models, the work with templates for extracting named custom entities and with tags for extracting information for searching for international conferences. Based on the results obtained, it is possible to judge the possibility of using a decision-making scheme by researchers, which allows obtaining data to select the most relevant international conference that meets the request of a group of researchers, authors of future scientific publications.