Supervised Term Weighting Schemes for Text Classification

This repository accompanies the following blog post:

http://aysent.github.io/2015/10/21/supervised-term-weighting.html

Getting started

• Clone this repository:

git clone https://github.com/aysent/supervised-term-weighting
cd supervised-term-weighting

• Download and unpack the Large Movie Review Dataset v1.0 from:

http://ai.stanford.edu/~amaas/data/sentiment/ [1]

[Optional] Files with filenames of training and test samples (train.csv and test.csv) are created with:

source create_filelists.sh

• Transform reviews with unsupervised (tf-idf) or supervised term weighting schemes and compare their performance:

python train.py

[1] Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts. (2011). Learning Word Vectors for Sentiment Analysis. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011).