| Issue |
E3S Web Conf.
Volume 431, 2023
XI International Scientific and Practical Conference Innovative Technologies in Environmental Science and Education (ITSE-2023)
|
|
|---|---|---|
| Article Number | 05005 | |
| Number of page(s) | 6 | |
| Section | IT and Mathematical Modeling in the Environment | |
| DOI | https://doi.org/10.1051/e3sconf/202343105005 | |
| Published online | 13 October 2023 | |
The Latent Dirichlet Allocation (LDA) generative model for automating process of rendering judicial decisions
T.F. Gorbachev Kuzbass State Technical University, 650000, Kemerovo, 28 Vesennya st., Russian Federation
* Corresponding author: pylovpa@kuzstu.ru
The Latent Dirichlet Allocation (LDA) generative model is widely used in statistical analysis and machine learning due to its ability to model the probabilities of multidimensional categorical data, such as the frequencies of different categories or the probability distribution across multiple categories. This article explores the potential application of the LDA model for the practical task of topic separation in documents related to judicial proceedings.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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