annotations_creators:
- expert-generated
- machine-generated
language_creators:
- found
language:
- de
license:
- cc-by-sa-3.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- token-classification
- text-classification
task_ids:
- text-scoring
- sentiment-scoring
- part-of-speech
pretty_name: SentiWS
dataset_info:
- config_name: pos-tagging
features:
- name: word
dtype: string
- name: pos-tag
dtype:
class_label:
names:
'0': NN
'1': VVINF
'2': ADJX
'3': ADV
splits:
- name: train
num_bytes: 75530
num_examples: 3471
download_size: 97748
dataset_size: 75530
- config_name: sentiment-scoring
features:
- name: word
dtype: string
- name: sentiment-score
dtype: float32
splits:
- name: train
num_bytes: 61646
num_examples: 3471
download_size: 97748
dataset_size: 61646
Dataset Card for SentiWS
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://wortschatz.uni-leipzig.de/en/download
- Repository: [Needs More Information]
- Paper: http://www.lrec-conf.org/proceedings/lrec2010/pdf/490_Paper.pdf
- Leaderboard: [Needs More Information]
- Point of Contact: [Needs More Information]
Dataset Summary
SentimentWortschatz, or SentiWS for short, is a publicly available German-language resource for sentiment analysis, opinion mining etc. It lists positive and negative polarity bearing words weighted within the interval of [-1; 1] plus their part of speech tag, and if applicable, their inflections. The current version of SentiWS contains around 1,650 positive and 1,800 negative words, which sum up to around 16,000 positive and 18,000 negative word forms incl. their inflections, respectively. It not only contains adjectives and adverbs explicitly expressing a sentiment, but also nouns and verbs implicitly containing one.
Supported Tasks and Leaderboards
Sentiment-Scoring, Pos-Tagging
Languages
German
Dataset Structure
Data Instances
For pos-tagging:
{
"word":"Abbau"
"pos_tag": 0
}
For sentiment-scoring:
{
"word":"Abbau"
"sentiment-score":-0.058
}
Data Fields
SentiWS is UTF8-encoded text. For pos-tagging:
- word: one word as a string,
- pos_tag: the part-of-speech tag of the word as an integer, For sentiment-scoring:
- word: one word as a string,
- sentiment-score: the sentiment score of the word as a float between -1 and 1,
The POS tags are ["NN", "VVINF", "ADJX", "ADV"] -> ["noun", "verb", "adjective", "adverb"], and positive and negative polarity bearing words are weighted within the interval of [-1, 1].
Data Splits
train: 1,650 negative and 1,818 positive words
Dataset Creation
Curation Rationale
[Needs More Information]
Source Data
Initial Data Collection and Normalization
[Needs More Information]
Who are the source language producers?
[Needs More Information]
Annotations
Annotation process
[Needs More Information]
Who are the annotators?
[Needs More Information]
Personal and Sensitive Information
[Needs More Information]
Considerations for Using the Data
Social Impact of Dataset
[Needs More Information]
Discussion of Biases
[Needs More Information]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
[Needs More Information]
Licensing Information
Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported License
Citation Information
@INPROCEEDINGS{remquahey2010, title = {SentiWS -- a Publicly Available German-language Resource for Sentiment Analysis}, booktitle = {Proceedings of the 7th International Language Resources and Evaluation (LREC'10)}, author = {Remus, R. and Quasthoff, U. and Heyer, G.}, year = {2010} }
Contributions
Thanks to @harshalmittal4 for adding this dataset.