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Using NLP to predict the category of BBC news articles

##article.authors##

  • Veer Vij student
  • Guillermo Goldsztein Mentor/Supervisor

Keywords:

Computer Science, Machine Learning, NLP, BBC, news articles, logistic regression, AI, categorisation, multiclassification

Abstract

We use Natural language processing techniques to develop a model that classifies news articles into one of the following five  types: sports, politics, technology, business or entertainment. To build this model, we use a data set of BBC news articles. Our model proves to be very accurate.

Author Biography

Guillermo Goldsztein, Mentor/Supervisor

PhD , Applied Mathematics, Massachusetts Institute of Technology

Professor and Director of Undergraduate Studies, Georgia Institute of Technology

References or Bibliography

Andriy Burkov. The hundred-page machine learning book, volume 1. Andriy Burkov Canada,

Sebastian Raschka. Python machine learning. Packt publishing ltd, 2015.

Cha Zhang and Yunqian Ma. Ensemble machine learning: methods and applications. Springer, 2012.

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Posted

09-16-2022

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Copyright (c) 2022 Veer Vij, Guillermo Goldsztein

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