This is the original implementation of the RBEM (Rule-Based Emission Model) algorithm for sentiment analysis. Supports polarity detection and for multiple languages (currently: English, Dutch and German), with a focus on short texts. For more info, see the papers below.

Cite:

@book{tromp2012multilingual,
  title={Multilingual Sentiment Analysis on Social Media: An Extensive Study on Multilingual Sentiment Analaysis Performed on Three Different Social Media},
  author={Tromp, E.},
  isbn={9783659135613},
  url={http://books.google.nl/books?id=ut4yLgEACAAJ},
  year={2012},
  publisher={LAP Lambert Academic Publishing}
}

@inproceedings{conf/kdd/TrompP13,
  author = {Tromp, Erik and Pechenizkiy, Mykola},
  booktitle = {WISDOM},
  crossref = {conf/kdd/2013wisdom},
  editor = {Cambria, Erik and Liu, Bing and Zhang, Yongzheng and Xia, Yunqing},
  publisher = {ACM},
  title = {RBEM: a rule based approach to polarity detection.},
  url = {http://dblp.uni-trier.de/db/conf/kdd/wisdom2013.html#TrompP13},
  year = 2013
}