{'fraction_non_alphanumeric': 0.016333938294010888, 'fraction_numerical': 0.0, 'mean_word_length': 5.4941176470588236, '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}}
Improving the Accuracy of Text Message Recognition with an Intelligent Chatbot Information System

In this article, the issues related to the text message recognition for intelligent chat-bot information system were analyzed. The issue of performance of text message recognition was noted and resolved. Solutions to decrease time spent on semantic text analysis were presented. Dependencies from the text length, semantic kernel, number of terminology knowledge bases, and total count of terms in the compound terminological knowledge base have shown.