Digital technologies for searching and processing unstructured information in modern higher education

摘要

The article presents the results of research on the application of Big Data digital technologies for unstructured information in modern higher education. Considered the importance of technology Big Data at the present stage of development, analyzed the prospects for application in higher education. An overview of the most common mathematical methods for extracting content from arrays of unstructured information is given: prediction method, TF-IDF method, hidden Markov model, PageRank reference ranking model, document indexing model, formalization method of processing unstructured Web-documents data. The present state of the art, trends in the development of Big Data and Web Mining technologies, and examples of companies that have implemented Big Data technologies in their activities are outlined.