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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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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.

classifiers insult-detection forum-posts-labelled

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