DEVELOPING AN AUTOMATED SOCIAL MEDIA ASSISTANT FOR NATURAL LANGUAGE RECOGNITION

Tagirov Kadir Mezhvedinovich, Tagirov Tagir Mezhvedinovich, Dmitriev Leonid Romanovich

An automated assistant capable of natural language recognition is becoming increasingly popular in social media. This paper discusses the development of a chatbot that uses machine learning techniques for natural language recognition. The authors describe the process of integrating the helper into a social network, as well as its functionality to improve user communication and service quality. Test results have shown the effectiveness of the developed automated social networking assistant.

Keywords:machine learning, chat-bot, natural language, speech recognition, social networks