Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
sentiment-analysis
Languages:
Italian
Size:
1K - 10K
License:
Added bibtex citation
Browse files
README.md
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@@ -24,4 +24,16 @@ The SENTIPOLC 2016 dataset contains 9410 tweets annotated for subjectivity, over
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The dataset has been created and used in the context of the SENTIPOLC 2016 task (http://www.di.unito.it/~tutreeb/sentipolc-evalita16/index.html), organized as part of the EVALITA 2016 evaluation campaign.
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Original files available here:
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https://live.european-language-grid.eu/catalogue/corpus/7479/download/
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The dataset has been created and used in the context of the SENTIPOLC 2016 task (http://www.di.unito.it/~tutreeb/sentipolc-evalita16/index.html), organized as part of the EVALITA 2016 evaluation campaign.
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Original files available here:
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https://live.european-language-grid.eu/catalogue/corpus/7479/download/
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If you find this dataset useful please cite:
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```
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@inproceedings{barbieri2016overview,
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title={Overview of the evalita 2016 sentiment polarity classification task},
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author={Barbieri, Francesco and Basile, Valerio and Croce, Danilo and Nissim, Malvina and Novielli, Nicole and Patti, Viviana and others},
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booktitle={CEUR Workshop Proceedings},
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volume={1749},
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year={2016},
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organization={CEUR-WS}
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}
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```
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