Creating a chatbot using text information processing methods

The article considers the relevance and applied aspects of use chatbots. structural functional system chatbot is analyzed. A comparative description platforms for creating chatbots has been made. blocks are based on example Telegram social network, a prototype system. As part development, necessary sufficient condition working with text described - various analysis methods as an input element interacting bot its training. discusses number solutions used creation data models: lemmatization methods, vectorization, machine learning models. focuses consideration methodology processing in different formats using technologies, which ensures scalability versatility proposed technology overall effectiveness future work chatbot.The will be interest to programmers, analysts anyone interested systems information. created messenger Python programming language that automates customer service specialist.