This is my academic project and in this, I have used different ML alogorithms for text classification. I have used tf-idf vectorizers to vectorize the text data that further goes
for implementation of the models. We have done vectorizer for both word and character and then made a union set which is finally used to vectorize data. This helps in removing
the stop words as well.
The data has been taken from here.
Models implemented:
- MultinomialNB
- RandomForestClassifier
- LogisticRegression
- SGDClassifier
- Perceptron
- MLPClassifier