For this project, you will implement a text categorization system. I recommend that you use one of the three machine learning methods for text categorization that we covered in class. You are free, however, to implement the system in any way that you choose as long as you implement the crux of the algorithm yourself. You are allowed to use available NLP resources that are not specifically related to text categorization, machine learning, or word statistics. For example, you may use an existing tokenizer or part-of-speech tagger if you find one that is compatible with your system. Assuming you program in Python (which I also recommend), you may use NLTK. However, you may not use any pre-existing routine (from NLTK or any other library) that calculates word statistics or that applies text categorization or a machine learning approach.
