Conference proceedings

Comparison Of Machine Learning Methods For Emotional Analysis

Year:

2025

Published in:

Taras Shevchenko National University of Kyiv
emotional analysis
machine learning
deep learning
neural networks
naive bayes classifier
support vector machine
recurrent neural network

The paper explores the difference between methods applied for emotional analysis of textual materials, including their effectiveness. Exploration of areas of emotional analysis application is conducted. A literature review is conducted, highlighting models, software, and libraries suitable for advancing the research. The topic of further research is also considered.

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