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