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Comparison and Clustering of Textual Information Sources Based on the Cosine Similarity Algorithm

This article presents a study aimed at developing an optimal concept for analyzing and comparing information sources based on large amounts of text information using natural language processing (NLP) methods. The object of the study was Telegram news channels, which are used as sources of text data. Pre-processing of texts was carried out, including cleaning, tokenization and lemmatization, to form a global dictionary consisting of unique words from all information sources.

Human metaphysical responsibility

The concept of metaphysical accountability is clarified in the scientific article by means
of philosophy, philosophy of law, canon law, mathematics and other sciences. Going to the
conditional formation of the spiritual ladder, it is proved that a person, raising the degree of
responsibility, can significantly reduce their number of offenses. Moving a person to perfection
is carried out in movement from the existential to the transcendental, while reducing the value
of orthodontic, where most unlawful, domestic acts.