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CMUQ-Hybrid: Sentiment Classification By Feature Engineering and Parameter Tuning

Kamla Al-Mannai, Hanan Alshikhabobakr, Sabih Bin Wasi, Rukhsar Neyaz, Houda Bouamor, Behrang Mohit
2014 Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)  

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https://web.archive.org/web/20180602003455/http://aclweb.org/anthology/S14-2028

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We use an SVM classifier and couple a set of features from one system with feature and parameter optimization framework from the second system.  ...  Most of the tuning and feature selection efforts were originally aimed at task-A of the shared task.  ...  Acknowledgment We would like to thank Kemal Oflazer and also the shared task organizers for their support throughout this work.  ... 
doi:10.3115/v1/s14-2028 dblp:conf/semeval/Al-MannaiAWNBM14 fatcat:va6u6h57bjckzniwi25gctnmga
Citation

Kamla Al-Mannai, Hanan Alshikhabobakr, Sabih Bin Wasi, Rukhsar Neyaz, Houda Bouamor, Behrang Mohit. "CMUQ-Hybrid: Sentiment Classification By Feature Engineering and Parameter Tuning." Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014) (2014) 181-185