Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
German
Size:
1K - 10K
Tags:
Sentiment Analysis
License:
Commit
·
4da7a1c
1
Parent(s):
35367e6
dataset upload
Browse files
README.md
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- de
|
| 4 |
+
license: cc-by-4.0
|
| 5 |
+
configs:
|
| 6 |
+
- config_name: default
|
| 7 |
+
sep: "\t"
|
| 8 |
+
column_names: ["ID", "Sentiment", "Text", "Normalized", "POS-Tags", "Dependency Labels", "additional Annotations"]
|
| 9 |
+
data_files:
|
| 10 |
+
- split: train
|
| 11 |
+
path: "train.tsv"
|
| 12 |
+
- split: test
|
| 13 |
+
path: "test.tsv"
|
| 14 |
+
- split: dev
|
| 15 |
+
path: "dev.tsv"
|
| 16 |
+
---
|
| 17 |
+
# A Twitter corpus and benchmark resources for german sentiment analysis
|
| 18 |
+
|
| 19 |
+
### Source
|
| 20 |
+
The data is a snapshot from the [SB10k Dataset](https://spinningbytes.com/more/resources/).
|
| 21 |
+
The snapshot was made by [Oliver Guhr](https://github.com/oliverguhr/german-sentiment).
|
| 22 |
+
|
| 23 |
+
### Citation Information
|
| 24 |
+
[Paper](https://doi.org/10.21256/zhaw-1530)
|
| 25 |
+
```
|
| 26 |
+
@inproceedings{cieliebak2017twitter,
|
| 27 |
+
title={A twitter corpus and benchmark resources for german sentiment analysis},
|
| 28 |
+
author={Cieliebak, Mark and Deriu, Jan Milan and Egger, Dominic and Uzdilli, Fatih},
|
| 29 |
+
booktitle={5th International Workshop on Natural Language Processing for Social Media, Boston MA, USA, 11 December 2017},
|
| 30 |
+
pages={45--51},
|
| 31 |
+
year={2017},
|
| 32 |
+
organization={Association for Computational Linguistics}
|
| 33 |
+
}
|
| 34 |
+
```
|
dev.tsv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
test.tsv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
train.tsv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|