Have a dataset of tweets that i want to use to make a classification model that classifies any tweet according to 1 - 5 Classifications

Job ID: 31363585

Budget: $20 – $50 USD

I have a dataset which has classified some tweets according to 5 classes need to use bag of words and tf idf to come up with a solution using different classification models such as bayes naves and support vectors and then the code should also display the classification accuracy using different pre processing methods and classification methods. Use bag of words with bayes naves and support vectors and then use tf idf with bag of words and bayes naves.
Related categories: Python Tensorflow