DocumentClassification

Spam classification and sentiment analysis.

Goals:

1. Spam Classification: Partition emails into 2 categories depending on whether they contain spam or not.
   
2. Sentiment Analysis: Partition movie reviews into 2 categories depending on whether they are positive or negative reviews.

Classifiers:

1. Multinomial Naive Bayes
   
2. Bernoulli Naive Bayes

Data Formats:

1. emails: text documents
   
2. movie reviews: text documents

Technique:

The goals above are each accomplished by training a Naive Bayes classifier on a set of training data, and then testing our classifier on a set of test data. We hope to have a high success rate in figuring out which emails contain spam, and whether an unseen movie review is positive or negative.