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Exploration of Document Classification Techniques: Classifying news articles with CNN, Dense and Logistic models

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NLP Document Classification

Exploration of Document Classification Techniques: Classifying news articles with CNN, Dense and Logistic models

Summary

The code in the various models can be used as a basis for more complex custom document classification systems. These models were benchmarked using the BBC news dataset in the data folder, with the following results:

  • Dense network: accuracy 95.96%, evaluation time: 0.0076s
  • CNN: accuracy 96.63%, evaluation time: 2.7s
  • Logistic: accuracy 96.18%, evaluation time: 0.0015s

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Exploration of Document Classification Techniques: Classifying news articles with CNN, Dense and Logistic models

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