Количество страниц: 5 с.
The article deals with the task of text processing using neural networks to determine authorship. The relevance of this topic is due to the increasing role of artificial intelligence in various fields, including natural language processing. A practical example of implementation of neural network approach to text authorship determination using Keras Python library on Google Colaboratory platform is presented. The steps of data preparation, creation of training and test samples, model building and training are described. The obtained results demonstrate high accuracy of text authorship identification, reaching 95-98%.
Леонтьев, Нь. А. Обработка текста с помощью нейросети в направлении авторства / Н. А. Леонтьев, А. А. Саввинова ; Северо-Восточный федеральный университет им. М. К. Аммосова // Международный журнал гуманитарных и естественных наук. - 2024. - N 5-1 (92). - C. 249-253. - DOI: 10.24412/2500-1000-2024-5-1-249-253
DOI: 10.24412/2500-1000-2024-5-1-249-253
Количество страниц: 10 с.
- Общий отдел > Информационные технологии. Вычислительная техника,
- Общественные науки. Образование > Экономика. Экономические науки. Политическая экономия > Финансы. Банковское дело. Деньги и денежное обращение,
- НАУКА ЯКУТИИ > ОБЩЕСТВЕННЫЕ НАУКИ > Экономика. Экономические науки. Политическая экономия,
- НАУКА ЯКУТИИ > ОБЩИЙ ОТДЕЛ > Информационные технологии. Вычислительная техника.
In recent years, the banking business has been proactively introducing various innovations. The mortgage industry is complex and confusing, and this is primarily due to traditional and paper processes, lack of standardization, and extensive regulatory requirements. This study is justified by the fact that innovative technologies such as blockchain can be a solution to these problems. Currently, the use of blockchain in the banking sector is not sufficiently developed in Russia. Blockchain can help clients of banking organizations to purchase real estate not in weeks, but in a few minutes, without using paper workflow. The purpose of the study is to develop proposals for the introduction of innovative technology into the mortgage system of Almazergienbank JSC. To achieve this goal, the following tasks were solved: the main problems of mortgage lending in Russia were identified, the organizational and economic characteristics of Almazergienbank JSC were carried out, the analysis of mortgage lending management of Almazergienbank JSC was carried out, the analysis of the innovative activity of Almazergienbank JSC was carried out, problems were identified and recommendations for the introduction of innovative technologies into the mortgage system were proposed JSCB Almazergienbank JSC. The results of this study are the application of the recommendations received to improve the effectiveness of the application and use of new innovative technologies in the development of the bank’s mortgage system.
Дайбаннырова, Н. К. Внедрение инновационных технологий для развития ипотечной системы банка (на примере АКБ "Алмазэргиэнбанк" АО) / Н. К. Дайбаннырова, Е. В. Сибилева ; Северо-Восточный федеральный университет им. М. К. Аммосова // Вестник Северо-Восточного федерального университета им. М. К. Аммосова. Серия "Экономика. Социология. Культурология". - 2024. - N 2 (34). - C. 7-16. - DOI: 10.25587/2587-8778-2024-2-7-16
DOI: 10.25587/2587-8778-2024-2-7-16
Год выпуска: 2021
Год выпуска: 2024
Год выпуска: 2024
Год выпуска: 2023
Год выпуска: 2022
Год выпуска: 2022
Год выпуска: 2024