{'fraction_non_alphanumeric': 0.0045871559633027525, 'fraction_numerical': 0.0, 'mean_word_length': 5.069444444444445, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Intellectual Analysis of Text Data for Solving the Problem of Information Categorization

The report discusses the use of Text Mining algorithms such as semantic analysis of text and search for keywords to solve the problem of categorizing data entering the information system in the form of short messages in text format. An example of the application of such algorithms in the information system for processing user messages is given.