webmining

We use NLTK, scikit

We used some basic routines in this project.

Regex tokenizer Cut the tweeters into words.

TF-IDF feature extractor We use basic TF-IDF for this.

Additional feature We added some words that we thought might be useful, like "rainy", "windy"...

It's a regression problem so we used several regression methods, including: Ridge regression SVM regression (RBF kernel, linear) Random forest

See submission/