Development of Logical Methods for Extracting Emotional Assessments from Natural Language Texts Full article
| Conference |
IEEE XVI International Scientific and Technical Conference "Actual Problems of Electronic Instrument Engineering" 10-12 Nov 2023 , Новосибирск |
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| Source | IEEE XVI International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering (APEIE) Compilation, 2023. |
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| Output data | Year: 2023, Pages: 1460-1465 Pages count : 6 DOI: 10.1109/apeie59731.2023.10347569 | ||||
| Tags | atomic diagrams, deep machine learning, dictionary-based algorithms, emotional assessments, logical-semantic methods, neural networks, partial models, text sentiment | ||||
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| Affiliations |
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Funding (1)
| 1 | Sobolev Institute of Mathematics | FWNF-2022-0011 |
Abstract:
The article is devoted to the problem of extracting emotional assessments from natural language texts. The article analyzes existing methods of sentiment analysis and explores modern methods of natural language processing to determine the sentiment of Uzbek texts. Existing approaches to the study and description of emotions are explored. Particular attention is paid to emotional assessments of situations presented in natural language texts. Logical-semantic methods and technologies based on deep machine learning methods are considered. Formalization of emotional assessments contained in natural language texts is carried out using the theory of partial models. The task of classification is to assign a class to objects based on their characteristics. In the case of the emotion model, the emotion texts are object-class pairs. Since the number of emotions is not binary, the classification is not binary. To solve the classification problem, a training data set consisting of labeled text with emotions is required.
Cite:
Palchunov D.E.
, Akhmedov E.Y.
Development of Logical Methods for Extracting Emotional Assessments from Natural Language Texts
In compilation IEEE XVI International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering (APEIE). 2023. – C.1460-1465. DOI: 10.1109/apeie59731.2023.10347569 Scopus OpenAlex
Development of Logical Methods for Extracting Emotional Assessments from Natural Language Texts
In compilation IEEE XVI International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering (APEIE). 2023. – C.1460-1465. DOI: 10.1109/apeie59731.2023.10347569 Scopus OpenAlex
Dates:
| Published print: | Dec 13, 2023 |
| Published online: | Dec 13, 2023 |
Identifiers:
| Scopus: | 2-s2.0-85182263957 |
| OpenAlex: | W4389666895 |