word
stringlengths
2
18
sentiment
class label
2 classes
die
0negative
laat
0negative
wees
0negative
dood
0negative
0negative
Maart
0negative
oorlog
0negative
kort
0negative
algemeen
0negative
gegee
0negative
veroorsaak
0negative
lang
0negative
min
0negative
geval
0negative
verloor
0negative
val
0negative
verskil
0negative
betrokke
0negative
vervaardig
0negative
vlak
0negative
verdeel
0negative
beweging
0negative
verlaat
0negative
stryd
0negative
diere
0negative
beperk
0negative
afstand
0negative
sterf
0negative
swaar
0negative
trek
0negative
probleme
0negative
donker
0negative
beweer
0negative
onderwerp
0negative
gewoon
0negative
aanval
0negative
opstand
0negative
vermoor
0negative
vernietig
0negative
gesterf
0negative
duur
0negative
swak
0negative
moeilik
0negative
beset
0negative
skakel
0negative
probleem
0negative
terugkeer
0negative
ernstige
0negative
sin
0negative
heeltemal
0negative
slag
0negative
gedra
0negative
vlug
0negative
spyte
0negative
siekte
0negative
grense
0negative
vervaardiging
0negative
geweier
0negative
bedank
0negative
stof
0negative
konflik
0negative
draai
0negative
vas
0negative
aanvalle
0negative
voorwerp
0negative
gebrek
0negative
vallei
0negative
getref
0negative
los
0negative
koue
0negative
gevaar
0negative
verbied
0negative
effens
0negative
verwerp
0negative
brand
0negative
skade
0negative
skaars
0negative
verval
0negative
geslag
0negative
omstrede
0negative
beperkte
0negative
verban
0negative
bloed
0negative
negatiewe
0negative
vreemde
0negative
verwoes
0negative
weerstand
0negative
kritiek
0negative
streng
0negative
hang
0negative
verlies
0negative
breek
0negative
spanning
0negative
vermy
0negative
instelling
0negative
sing
0negative
slawe
0negative
gely
0negative
bedreig
0negative
bane
0negative

Dataset Card for SentiWS

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

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.

It is distributed here under the GNU General Public License. Note that this is the full GPL, which allows many free uses, but does not allow its incorporation into any type of distributed proprietary software, even in part or in translation. For commercial applications please contact the dataset creators (see "Citation Information").

Citation Information

This dataset was collected by Yanqing Chen and Steven Skiena. If you use it in your work, please cite the following paper:

@inproceedings{chen-skiena-2014-building,
    title = "Building Sentiment Lexicons for All Major Languages",
    author = "Chen, Yanqing  and
      Skiena, Steven",
    booktitle = "Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
    month = jun,
    year = "2014",
    address = "Baltimore, Maryland",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P14-2063",
    doi = "10.3115/v1/P14-2063",
    pages = "383--389",
}

Contributions

Thanks to @KMFODA for adding this dataset.

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