Work

Building a language entropy model and using APACHE SPARK to efficiently process unstructured data

Year: 2024

Type: article

Abstract: This article discusses the process of building a language entropy model, which is an important tool for analyzing and evaluating the information structure of a language. The paper also describes the installation and use of the Apache Spark distributed framework for unstructured data storage and parallel computing. Apache Spark provides high performance and scalability, which is especially important when processing large amounts of data. The authors offer useful recommendations and practical solutions for developers and researchers working with language analysis and processing of unstructured data.

Source: Bulletin of the National Engineering Academy of the Republic of Kazakhstan

DOI: 10.47533/2024.1606-146x.020

Authors: G. Shuitenov, S. Altynbek, A. Turginbayeva

Institutions: Kazakh Technology and Business University named after K.Kulazhanov, L. N. Gumilyov Eurasian National University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4410126193

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