Using Semantic Pattern Method for Evaluating Foreign Language Texts of Mineral Resources Profile

The purpose of the article is to develop and evaluate the effectiveness of an algorithm for finding and isolating semantic text patterns to automate online searches and assess professionally oriented training texts used in the education process at foreign language departments in mineral resources universities. The paper presents an algorithm for text analysis with identification of domain semantic patterns, classification of texts relative to industrial subdomains, calculation of text proximity metrics to industrial subdomains and their assessment according to the degree of this proximity.