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Conference material: "Scientific service & Internet: proceedings of the 21th All-Russian Scientific Conference (September 23-28, 2019, Novorossiysk)"
Authors: Alekseev A.A., Zuev D.S., Katasev A.S., Kirillov A.E., Khassianov A.F.
Prototype of classifier for the decision support system of legal documents
Abstract:
We propose a prototype of the classifier of electronic documents for the decision support system in the field of economic justice. The system uses both wellknown text analytics algorithms and an original algorithm based on an artificial neural network. A text mining model has been developed to classify court documents to determine the category (class) of a statement of claim. A preliminary analysis of court documents and the selection of significant features were carried out. To choose the best way of solving problem of document classification we implemented Bayesian classification algorithm, k nearest neighbor algorithm and decision trees algorithm. All used algorithms show results with errors on the same sample corpus of texts. To improve the accuracy of classification, an original model based on an artificial neural network was developed, which shows an unmistakable determination of the type of document on a test sample for a number of classes of lawsuits in arbitration proceedings.
Keywords:
classification, text mining, artificial neural network, classification algorithms, decision support system
Publication language: russian,  pages: 12 (p. 40-51)
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About authors:
  • Alekseev Aleksei Alekseevich,  Казанский национальный исследовательский технический университет им. А.Н. Туполева
  • Zuev Denis Sergeevich,  orcid.org/0000-0001-9651-6156,  Higher School of Information Technologies and Intelligent Systems, Kazan (Volga Region) Federal University
  • Katasev Aleksei Sergeevich,  Kazan National Research Technical University
  • Kirillov Aleksei Evgenievich,  The Arbitration Court of the Republic of Tatarstan
  • Khassianov Airat Faridovich,  Higher School of Information Technologies and Intelligent Systems, Kazan (Volga Region) Federal University