Spam classifier model using bag of words concept in NLP
Libraries used -
- Nltk & Scikit-learn
Model used -
- Feature extraction using CountVectorizer
- Model training with MultinomialNB
Steps:
- Read csv file
- Data cleaning and preprocessing
- Feature extraction with bag of words model
- Model Training
- Model Evaluation with accruacy score