Datasets of ASONAM-2015 paper "Tweet sentiment: From classification to quantification"

Datasets used for the following ASONAM 2015 paper:
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Title: Tweet Sentiment: From Classification to Quantification
Authors: Wei Gao and Fabrizio Sebastiani
Organization: Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar
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[Content]

* SemEval2013, SemEval2014, SemEval2015 datasets:
  - semeval.train.feature.txt: Training set for learning sentiment models at development stage
  - semeval.dev.feature.txt: Held-out set for tuning parameters
  - semeval.train+dev.feature.txt: Training set for learning the final sentiment model
  - semeval13.test.feature.txt: SemEval2013 test set
  - semeval14.test.feature.txt: SemEval2014 test set
  - semeval15.test.feature.txt: SemEval2015 test set
  
* Other datasets: sanders, sst, omd, hcr, gasp
  - X.train.feature.txt: Training set for learning sentiment models at development stage
  - X.dev.feature.txt: Held-out set for tuning parameters
  - X.train+dev.feature.txt: Traing set for learning the final sentiment model
  - X.test.feature.txt: Test set
where X is one of sanders, sst, omd, hcr and gasp.

For more details, please refer to the paper.

[Citation]
You can cite the folowing paper when referring to the dataset:

@inproceedings{gao2015tweet,
  title={Tweet sentiment: From classification to quantification},
  author={Gao, Wei and Sebastiani, Fabrizio},
  booktitle={2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)},
  pages={97--104},
  year={2015},
  organization={IEEE}
}