Support Vector Machine Process for Text Mining
I am trying to set up a process model that will classify a dataset of movie reviews into two classes, negative and positive using support vector machine. I created this model which uses SVM and I split the dataset into a "training" set with 700 text reviews (both positive and negative) and a "test" set with 300 reviews (positive and negative). Whenever I run the model I get this error about three quarters of the way through. I tried adding a "stopwords" dictionary to solve the error, but the model seemed to hate every other word it came across. Can someone help me shed some light on this? I have attached the saved model.