Work

Comparative Analysis of Document Classification Algorithms

Year: 2024

Type: conference-paper

Abstract: Document classification is a critical task in the field of natural language processing (NLP), which involves classifying text documents into predefined classes or topics. Various algorithms have been developed to automate this process, each with its own strengths and limitations. In this article, we provide a comparative analysis of popular document classification algorithms, revealing insights into their methodology, advantages, and challenges.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13325063

Authors: Davletov A.Y., Sabirova S.T.

Language: English

Topic: Text and Document Classification Technologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6930546347

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