Strucural Correspondence Learning

This is a Python implementation of the Structural Correpondence Learning (SCL) method for cross-domain sentiment classification proposed in the following papes.

1. J. Blitzer, M. Dredze, and F. Pereira. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In ACL 2007, pages 440–447, 2007.
2. J. Blitzer, R. McDonald, and F. Pereira. Domain adaptation with structural correspondence learning. In EMNLP, pages 120 – 128, 2006.

You can download the multidomain sentiment dataset in a format that can be used with this code here https://www.dropbox.com/s/mc8c1ihdir3omju/multi-domain_sentiment_dataset.zip?dl=0