Dataset Card for SentiWS

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



Dataset Structure

Data Instances

For pos-tagging:

"pos_tag": 0

For sentiment-scoring:


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]


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} }


Thanks to @harshalmittal4 for adding this dataset.

Models trained or fine-tuned on senti_ws

None yet