Remove Stop Words

$1$ point possible $($graded$)$

Try to implement stop words removal in your feature engineering code. Specifically, load the file stopwords.txt$,$ remove the words in the file from your dictionary by editing the bag$\_$of$\_$words function $,$ and use features constructed from the new dictionary to train your model and make predictions.

Compare your result in the testing data on Pegasos algorithm using T $=25$ and L $=0\mathrm{.}01$ when you remove the words in stopwords.txt from your dictionary.

Hint: Instead of replacing the feature matrix with zero columns on stop words, you can modify the bag$\_$of$\_$words function to prevent adding stopwords to the dictionary

Accuracy on the test set using the original dictionary: $0\mathrm{.}8020$

Accuracy on the test set using the dictionary with stop words removed: