IDENTIFICATION OF EMOTIONAL WORDS IN TEXT COMMUNICATION

Authors

  • Dmytriieva Iryna
  • Bimalov Dmytro

DOI:

https://doi.org/10.34185/1991-7848.itmm.2023.01.078

Keywords:

emotion identification, discourse tree, semantic model, vector algorithm

Abstract

The study of the identification of emotions in text communication is an actual direction of research in the field of natural language processing and machine learning. The main goal of the research is to develop algorithms and models that can automatically determine a person's emotional state based on text messages. This work is devoted to the review of some models and an algorithm for improving data processing in the middle of text communication of users.

References

Andreichuk N. I., Babeliuk O.A. Contrastive Lexicology of English and Ukrainian languages: theory and practice: textbook/ N.I. Andreichuk, O.A. Babeliuk. – Kherson: Publishing House “Helvetica”, 2019. – 236 p.

Hnezdilova Ya.V. Emotsiinist ta emotyvnist suchasnoho anhlomovnoho dyskursu: strukturnyi, semantychnyi i prahmatychnyi aspekty: dys. … kand. filolh. nauk. – K.: KNLU, 2007 – 269 s.

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Published

2024-04-03

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Section

Статті