|
--- |
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annotations_creators: |
|
- expert-generated |
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language_creators: |
|
- expert-generated |
|
languages: |
|
- af |
|
- an |
|
- ar |
|
- az |
|
- be |
|
- bg |
|
- bn |
|
- br |
|
- bs |
|
- ca |
|
- cs |
|
- cy |
|
- da |
|
- de |
|
- el |
|
- eo |
|
- es |
|
- et |
|
- eu |
|
- fa |
|
- fi |
|
- fo |
|
- fr |
|
- fy |
|
- ga |
|
- gd |
|
- gl |
|
- gu |
|
- he |
|
- hi |
|
- hr |
|
- ht |
|
- hu |
|
- hy |
|
- ia |
|
- id |
|
- io |
|
- is |
|
- it |
|
- ja |
|
- ka |
|
- km |
|
- kn |
|
- ko |
|
- ku |
|
- ky |
|
- la |
|
- lb |
|
- lt |
|
- lv |
|
- mk |
|
- mr |
|
- ms |
|
- mt |
|
- nl |
|
- nn |
|
- no |
|
- pl |
|
- pt |
|
- rm |
|
- ro |
|
- ru |
|
- sk |
|
- sl |
|
- sq |
|
- sr |
|
- sv |
|
- sw |
|
- ta |
|
- te |
|
- th |
|
- tk |
|
- tl |
|
- tr |
|
- uk |
|
- ur |
|
- uz |
|
- vi |
|
- vo |
|
- wa |
|
- yi |
|
- zh |
|
- zhw |
|
licenses: |
|
- gpl-3-0 |
|
multilinguality: |
|
- multilingual |
|
size_categories: |
|
- n<1K |
|
source_datasets: |
|
- original |
|
task_categories: |
|
- text-classification |
|
task_ids: |
|
- sentiment-classification |
|
--- |
|
|
|
# Dataset Card for SentiWS |
|
|
|
## Table of Contents |
|
- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
|
- [Dataset Structure](#dataset-structure) |
|
- [Data Instances](#data-instances) |
|
- [Data Fields](#data-instances) |
|
- [Data Splits](#data-instances) |
|
- [Dataset Creation](#dataset-creation) |
|
- [Curation Rationale](#curation-rationale) |
|
- [Source Data](#source-data) |
|
- [Annotations](#annotations) |
|
- [Personal and Sensitive Information](#personal-and-sensitive-information) |
|
- [Considerations for Using the Data](#considerations-for-using-the-data) |
|
- [Social Impact of Dataset](#social-impact-of-dataset) |
|
- [Discussion of Biases](#discussion-of-biases) |
|
- [Other Known Limitations](#other-known-limitations) |
|
- [Additional Information](#additional-information) |
|
- [Dataset Curators](#dataset-curators) |
|
- [Licensing Information](#licensing-information) |
|
- [Citation Information](#citation-information) |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** https://sites.google.com/site/datascienceslab/projects/multilingualsentiment |
|
- **Repository:** https://www.kaggle.com/rtatman/sentiment-lexicons-for-81-languages |
|
- **Paper:** [Needs More Information] |
|
- **Leaderboard:** [Needs More Information] |
|
- **Point of Contact:** [Needs More Information] |
|
|
|
### Dataset Summary |
|
|
|
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them |
|
|
|
### Supported Tasks and Leaderboards |
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|
|
Sentiment-Classification |
|
|
|
### Languages |
|
|
|
Afrikaans |
|
Aragonese |
|
Arabic |
|
Azerbaijani |
|
Belarusian |
|
Bulgarian |
|
Bengali |
|
Breton |
|
Bosnian |
|
Catalan; Valencian |
|
Czech |
|
Welsh |
|
Danish |
|
German |
|
Greek, Modern |
|
Esperanto |
|
Spanish; Castilian |
|
Estonian |
|
Basque |
|
Persian |
|
Finnish |
|
Faroese |
|
French |
|
Western Frisian |
|
Irish |
|
Scottish Gaelic; Gaelic |
|
Galician |
|
Gujarati |
|
Hebrew (modern) |
|
Hindi |
|
Croatian |
|
Haitian; Haitian Creole |
|
Hungarian |
|
Armenian |
|
Interlingua |
|
Indonesian |
|
Ido |
|
Icelandic |
|
Italian |
|
Japanese |
|
Georgian |
|
Khmer |
|
Kannada |
|
Korean |
|
Kurdish |
|
Kirghiz, Kyrgyz |
|
Latin |
|
Luxembourgish, Letzeburgesch |
|
Lithuanian |
|
Latvian |
|
Macedonian |
|
Marathi (Marāṭhī) |
|
Malay |
|
Maltese |
|
Dutch |
|
Norwegian Nynorsk |
|
Norwegian |
|
Polish |
|
Portuguese |
|
Romansh |
|
Romanian, Moldavian, Moldovan |
|
Russian |
|
Slovak |
|
Slovene |
|
Albanian |
|
Serbian |
|
Swedish |
|
Swahili |
|
Tamil |
|
Telugu |
|
Thai |
|
Turkmen |
|
Tagalog |
|
Turkish |
|
Ukrainian |
|
Urdu |
|
Uzbek |
|
Vietnamese |
|
Volapük |
|
Walloon |
|
Yiddish |
|
Chinese |
|
Zhoa |
|
|
|
## Dataset Structure |
|
|
|
### Data Instances |
|
|
|
``` |
|
{ |
|
"word":"die", |
|
"sentiment": 0, #"negative" |
|
} |
|
``` |
|
|
|
### Data Fields |
|
|
|
- word: one word as a string, |
|
- sentiment-score: the sentiment classification of the word as a string either negative (0) or positive (1) |
|
|
|
### Data Splits |
|
|
|
[Needs More Information] |
|
|
|
## 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 |
|
|
|
GNU General Public License v3 |
|
|
|
### Citation Information |
|
@inproceedings{inproceedings, |
|
author = {Chen, Yanqing and Skiena, Steven}, |
|
year = {2014}, |
|
month = {06}, |
|
pages = {383-389}, |
|
title = {Building Sentiment Lexicons for All Major Languages}, |
|
volume = {2}, |
|
journal = {52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference}, |
|
doi = {10.3115/v1/P14-2063} |
|
} |
