Skip to content

debasmitdas/SCL

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 

Repository files navigation

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.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%