Аналіз інструментів для створення NLP чат-бота

Abstract

Examination of different methodologies employed in the development of NLP chatbots is presented in this article. The study compares two primary strategies for chatbot development: constructing from the scratch and utilizing pre-existing no-code platforms. Various criteria, including flexibility, deployment complexity, and customization options, are used to evaluate these approaches. The paper also includes examples of well-known NLP libraries like NLTK and spaCy, as well as off-the-shelf platforms such as Dialogflow and Microsoft Bot Framework. It is emphasized that the selection of an approach depends on factors such as technical expertise, customization and integration requirements, and the specific functional demands of the chatbot.