implementing a perceptron classifier

Question

Hi I\'m pretty new to Python and to NLP. I need to implement a perceptron classifier. I searched through some websites but didn\'t find enough information. For now I have a numb

Answer 1

You should take a look at this survey paper on text classification by Frabizio Sebastiani. It tells you all of the best ways to do text classification.

Now, I'm not going to bother you to read the whole thing, but there's one table near the end, where he compares how lots of different people's techniques stack up on lots of different test corpora. Find it, pick the best one (the best perceptron one, if you assignment is specifically to learn how to do this with perceptron), and read the paper he cites that describes that method in detail.

You now know how to construct a good topical text classifier.

Turning the algorithm that Oswald gave you (and that you posted in your other question) into code is a Small Matter of Programming (TM). And if you encounter unfamiliar terms like TF-IDF while you're working, ask your teacher to help you by explaining those terms.