SPAM DETECTION USING NLP
A csv file containing labels as ‘spam’ and ‘not spam’ is pre-processed using regex, stemming and Lemmatization. The data is then vectorized using 4 vectorization techniques and a Random Forest Classifier is fit on top of the vectors. Finally all the results are compared and presented.
OpEN FOR COLLABORATION
Got a project? Let’s talk
IF YOU BELIEVE IN THE POWER OF TEAM WORK AND FUSION OF IDEAS TO CREATE A SUSTAINABLE PRODUCT AND GENERATE VALUE FOR THE SOCIETY, THEN HIT THE BUTTON BELOW!