CREATION OF A DIALOGUE ASSISTANT USING CLASSIFIERS IN NATURAL LANGUAGE PROCESSING

Verezubova Natalia Afanasyevna, Sakovich Natalia Evgenievna, Verezubova Irina Nikolaevna, Chekulaev Artur Anatolyevich

The article proposes an optimal architecture for a chatbot based on classifier models, which includes key components (natural language processing, machine learning and integration with databases). The classification models used in chatbots are considered, which make it possible to accurately determine the intentions of users and adapt responses in accordance with their requests, as well as the possibility of their training based on user interaction.

Keywords:chatbot, virtual assistant, machine learning, classifiers, stochastic gradient descent, random forest classifier