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

Proceedings

@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}
}