MilaNLProc / text-classification updated 3 years ago

xlm-emo-t

Detecting emotion in text allows social and computational scientists to study how people behave and react to online events. However, developing these tools for different languages requires data that is not always available. This paper collects the available emotion detection datasets across 19 languages. We train a multilingual emotion prediction model for social media data, XLM-EMO. The model shows competitive perfo...

Params
Context
512
Downloads 30d
488 K
Likes
13
Licence: unknown Not gated 1 languages View on Hugging Face ↗

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Specifications

Architecture
XLMRobertaForSequenceClassification
Context length
512
Vocabulary
250,002
Layers / heads
12 / 12
First seen on the Hub
2022-04-06
Training datasets
undisclosed
Added to our catalog
2026-07-28
Compare with any text-classification model