We applied the trained model to the rest 30,598 Purdue
tweets, and detected a total of 940 tweets reflecting the five
problems students encounter shown in Fig. 4. Again,
one tweet may fall under several different categories, so the
sum of numbers of tweets of all categories appears more
than 940.