Abstract
This paper is devoted to the study of two fundamental tasks of neuro-linguistic programming: discourse analysis and sentiment analysis, which are two fundamental tasks of natural language processing. The paper examined some models and algorithms for improving data processing in the process of textual communication between users. The study showed that the use of a joint model of discourse analysis and sentiment analysis is mutually beneficial. The results show that the information obtained from the discourse can help in determining the mood, and sentiment analysis and knowledge of two text fragments can help determine the discourse relations between them.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
