Abstract:
Theoretical and methodological issues of semantic text analysis in terms of extracting facts are considered. Using the
example of solving the problem of extracting temporal markers, the text search method, and its implementation in the Nevod
library are presented. The functional completeness of the developed library is analyzed by comparing its capabilities with the
tools of one of the leaders in the field of entity recognition – Microsoft.Recognizers.Text.
Keywords:semantic text analysis, automatic text processing, test data sets, pattern-based text search, pattern package, entity
recognition, temporal markers, Nevod library, Mathematica computer algebra system.