Datasets:
metadata
language:
- de
license: cc-by-nc-4.0
tags:
- Sentiment Analysis
size_categories:
- 10K<n<100K
task_categories:
- text-classification
pretty_name: GermEval 2017 – Shared Task on Aspect-based Sentiment Analysis Dataset
configs:
- config_name: default
sep: "\t+"
column_names:
- ID
- Text
- Relevance
- Sentiment
- Aspect:Polarity
data_files:
- split: train
path: train-2017-09-15.tsv
- split: test_dia
path: test_dia-2017-09-15.tsv
- split: test_syn
path: test_syn-2017-09-15.tsv
- split: dev
path: dev-2017-09-15.tsv
GermEval 2017 Shared Task on Aspect-based Sentiment in Social Media Customer Feedback
This Dataset is from the GermEval Task 2017 - Shared Task on Aspect-based Sentiment in Social Media Customer Feedback The original website with detailed information about the Task can be found here
Format
The data is provided as TSV. There are two Testsets (synchronic and diachronic)
ID <tab> Text <tab> Relevance <tab> Sentiment <tab> Aspect:Polarity (whitespace separated)
Annotation Guidelines
The annotation guidelines in German can be found here.
Licensing Information
The data is published under a creative commons by nc (4.0) licence
Citation Information
@inproceedings{germevaltask2017,
title = {{GermEval 2017: Shared Task on Aspect-based Sentiment in Social Media Customer Feedback}},
author = {Michael Wojatzki and Eugen Ruppert and Sarah Holschneider and Torsten Zesch and Chris Biemann},
year = {2017},
booktitle = {Proceedings of the GermEval 2017 – Shared Task on Aspect-based Sentiment in Social Media Customer Feedback},
address={Berlin, Germany},
pages={1--12}
}