Clustering method of news media reports based on conceptual analysis

The article describes the solution of a clustering news media reports based on the technique developed by authors of automatic calculation of a measure of semantic meaningfulness of the names of concepts of documents using their statistical, syntactic, and semantic features and technologies of automatic generation of declarative means for clustering documents based on the methods of their semantic-syntactic and conceptual analysis. On the basis of the suggested technique of calculation of a measure of semantic meaningfulness of the names of concepts and the software and declarative means created by the study process, an experiment was conducted to process a representative array of news media reports. The analysis of the results showed that the use of semantic correlating coefficients of concepts improves the accuracy of establishing semantic similarity between documents at automatically establishing the semantic meaningfulness of textual names of concepts.