Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
German
Size:
1K - 10K
Tags:
Sentiment Analysis
License:
Alienmaster
commited on
Commit
•
4da7a1c
1
Parent(s):
35367e6
dataset upload
Browse files
README.md
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---
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language:
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- de
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license: cc-by-4.0
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configs:
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- config_name: default
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sep: "\t"
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column_names: ["ID", "Sentiment", "Text", "Normalized", "POS-Tags", "Dependency Labels", "additional Annotations"]
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data_files:
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- split: train
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path: "train.tsv"
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- split: test
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path: "test.tsv"
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- split: dev
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path: "dev.tsv"
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---
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# A Twitter corpus and benchmark resources for german sentiment analysis
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### Source
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The data is a snapshot from the [SB10k Dataset](https://spinningbytes.com/more/resources/).
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The snapshot was made by [Oliver Guhr](https://github.com/oliverguhr/german-sentiment).
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### Citation Information
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[Paper](https://doi.org/10.21256/zhaw-1530)
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```
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@inproceedings{cieliebak2017twitter,
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title={A twitter corpus and benchmark resources for german sentiment analysis},
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author={Cieliebak, Mark and Deriu, Jan Milan and Egger, Dominic and Uzdilli, Fatih},
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booktitle={5th International Workshop on Natural Language Processing for Social Media, Boston MA, USA, 11 December 2017},
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pages={45--51},
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year={2017},
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organization={Association for Computational Linguistics}
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}
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```
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dev.tsv
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test.tsv
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train.tsv
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