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projet-NLP1

DEMO

2025-05-19.12-30-59.mp4

TODO

  • download & tokenize dataset
  • main classifier/sub classifier approch
  • big classifier approch
  • try different models
    • bag of words (bayesian)
    • ngrams
    • word2vec/idf
    • RNN / FNN
    • Transformers
  • rapport latex
  • benchmarks (f1 scores)
  • make models vote
  • cache weights
  • demo: use rich
    • table with models results and probabilities
    • live prediction on each keystroke
    • show each model training progress
    • copilot like autocompletion with transformers

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Exploring text classification and generation techniques

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