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Spam-Detection-using-NLTK

This project is created to classify a certain incoming message as Ham(legitimate) or spam.

Dataset from UCI

  • used NLTK
  • used Normalisation
  • used Vectorisation
  • used TF-IDF (Term-Frequency - Inverse_Document_frequency)

for more details about Dataset , check out the other readme file in codespace.

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Using NLP features to classify an incoming message as legitimate or spam

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