Analysis of the emotional coloring of text using machine and deep learning methods
Abdykerimova L. Abdikerimova G. Konyrkhanova A. Nurova G. Bazarova M. Bersugir M. Kaldarova M. Yerzhanova A.
June 2024Institute of Advanced Engineering and Science
International Journal of Electrical and Computer Engineering
2024#14Issue 33055 - 3063 pp.
The presented scientific article is a comprehensive study of machine learning and deep learning methods in the context of emotion recognition in text data. The main goal of the study is to conduct a comprehensive analysis and comparison of various machine learning and deep learning methods to classify emotions in text. During the work, special attention was paid to the analysis of traditional machine learning algorithms, such as multinomial naive Bayes (MNB), multilayer perceptron (MLP), and support vector machine (SVM), as well as the use of deep learning methods based on long short-term memory (LSTM). The experimental part of the study involves the analysis of different data sets covering a variety of text styles and contexts. The experimental results are analyzed in detail, identifying the advantages and limitations of each method. The article provides practical recommendations for choosing the optimal method depending on the specific tasks and context of the application. The data obtained is important for the development of intelligent systems that can effectively adapt to the emotional aspects of interaction with users. Overall, this work makes a significant contribution to the field of emotion recognition in text and provides a basis for further research in this area.
Deep learning Emotional coloring Long short-term memory Multilayer perceptron Multinomial naive Bayes Support vector machine
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Department of Computer and Software Engineering, Faculty of Information Technology, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
Department of Information Systems, L. N. Gumilyov Eurasian National University, Astana, Kazakhstan
Department of Information Security, Faculty of Information Technologies, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
Kyzylorda Regional Branch, the Academy of Public Administration under the President of the Republic of Kazakhstan, Kyzylorda, Kazakhstan
The Higher School of IT and Natural Sciences, Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk, Kazakhstan
Department of Mathematics and Mathematical Modeling, Abay Kazakh National Pedagogical University, Almaty, Kazakhstan
Higher School of Information Technology and Engineering, Astana International University, Astana, Kazakhstan
Department of Technological Machines and Equipment, Faculty of Technology, S. Seifullin Кazakh Agrotechnical Research University, Astana, Kazakhstan
Department of Information Systems, L. N. Gumilyov Eurasian National University, Astana, 010000, Kazakhstan
Department of Computer and Software Engineering
Department of Information Systems
Department of Information Security
Kyzylorda Regional Branch
The Higher School of IT and Natural Sciences
Department of Mathematics and Mathematical Modeling
Higher School of Information Technology and Engineering
Department of Technological Machines and Equipment
Department of Information Systems
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