Biblio
 
 (2014).  JOINT\_FORCES: Unite Competing Sentiment Classifiers with Random Forest..  
SemEval@ COLING.  366–369.
 
 (2014).  Meta-Classifiers Easily Improve Commercial Sentiment Detection Tools..  
Language Resources and Evaluation Conference (LREC).  3100–3104.
 
 (2013).  Potential and Limitations of Commercial Sentiment Detection Tools..  
ESSEM@ AI* IA.  47–58.

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