Gorbunov Alexander N. (graduate student
Accredited educational private institution of higher education «Moscow Financial and Legal University MFLA»;
senior developer
Click Group LLC
)
Kuznetsova Marina Nikolaevna (Doctor of Economics, Professor of the Department of Informatics and Computer Science
«Moscow Financial and Legal University MFUA»
)
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Document classification plays an important role in many areas, such as information retrieval, data mining, etc., where machine learning and deep learning models can be applied. The paper deals with the features of building a neural network classifier for automatic document processing system. In the process of research the DocXClassifier model is presented, which is designed on a convolution-free neural network. The effectiveness of the model has been demonstrated by comparing it with other machine learning algorithms during the classification of scientific articles from the database “Web of Science Dataset”.
Keywords:neural network, classification, document, group.
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Read the full article …
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Citation link:
Gorbunov A. N., Kuznetsova M. N. NEURAL NETWORK CLASSIFIER FOR AUTOMATIC DOCUMENT PROCESSING SYSTEM // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2024. -№06/2. -С. 97-100 DOI 10.37882/2223-2966.2024.6-2.13 |
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