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Insult-detection

Various classifiers are trained with forum posts labelled either neutral or insulting.

Preprocessing methods used

  • unicode cleanup
  • lemmatization
  • stopwords
  • TFIDF
  • POS tagging

Trained models

  • Naive bayes
  • SVM
  • Random forests

Metrics

  • F1
  • CLF

Libraries used

  • nltk
  • sklearn
  • panda
  • numpy

The notebook is fully documented , conclusion and extra thoughts are included there

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Various classifiers are trained with forum posts labelled either neutral or insulting and are tested with appropriate metrics.

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