Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
German
Size:
1K - 10K
Tags:
Sentiment Analysis
License:
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A Twitter corpus and benchmark resources for german sentiment analysis
Source
The data is a snapshot from the SB10k Dataset. The snapshot was made by Oliver Guhr.
Citation Information
@inproceedings{cieliebak2017twitter,
title={A twitter corpus and benchmark resources for german sentiment analysis},
author={Cieliebak, Mark and Deriu, Jan Milan and Egger, Dominic and Uzdilli, Fatih},
booktitle={5th International Workshop on Natural Language Processing for Social Media, Boston MA, USA, 11 December 2017},
pages={45--51},
year={2017},
organization={Association for Computational Linguistics}
}
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