The main idea of the Project is to classify documents given into one of 20 categories by training the model on training datasets. In order to classify documents we prapare data as follows convert all letters to lowercase ,word tokenization ,stop words removal ,lemmatization.fearure extraction using tfidf after data preparation apply some of machine learning algorithms Logistic regression ,SVM and Decision tree.
● Accuracy 99.99