Clasificación de categorías de noticias usando BERT

Bradlhy Luis Machado Medina; César Alonso Santillana Quirita; Sharmelyn Violeta Bautista Luque

doi:10.48168/innosoft.s12.a98

Classification of news categories using BERT

Bradlhy Luis Machado Medina La Salle University https://orcid.org/0009-0004-9713-5100
César Alonso Santillana Quirita La Salle University
Sharmelyn Violeta Bautista Luque La Salle University https://orcid.org/0009-0008-2938-960X

DOI: 10.48168/innosoft.s12.a98

PURL: 42411/s12/a98

ARK: ark:/42411/s12/a98

Keywords: News classification, natural language processing, BERT, machine learning, artificial intelligence

Abstract

The present project consists of developing a Natural Language Processing model to classify news using a set of data or DataSets already evaluated. The main objective is to create a system that can automatically identify and assign news to one of the predefined categories: business, entertainment, politics, sports or technology. This involves data preprocessing, feature extraction, training a machinelearning model and then evaluating its performance using metrics such as "accuracy", "recall 2" F1 - score". This will allow to determine how well the model can predict the correct category for a new or unlabeled news item. If the performance of the model is satisfactory, it can be used to classify unlabeled news in real time. In summary, it seeks to provide an efficient and accurate solution for organizing and labeling the informative content of a news item with the help of Artificial Intelligence.

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References

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Received: 2023-03-18

Accepted: 2023-06-28

Published: 2023-09-30

Contributor Roles

Bradlhy Luis Machado Medina:

César Alonso Santillana Quirita:

Sharmelyn Violeta Bautista Luque:

How to Cite

[1]

B. L. Machado Medina, C. A. Santillana Quirita, and S. V. Bautista Luque, “Classification of news categories using BERT”, Innov. softw., vol. 4, no. 2, pp. 36-51, Sep. 2023.

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Issue

Vol 4 No 2 (2023): September - February

Section

Journal papers

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