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# Multi-emotion recognition
Ukr Emotions Classifier
EmoBench - UA is a model for detecting the sentiment of Ukrainian text, capable of recognizing six basic emotions (joy, anger, fear, disgust, surprise, sadness) and the state of no emotion.
Text Classification
Transformers Other
Transformers OtherU
ukr-detect
278
1
Audio Emotion Detection
Apache-2.0
This model is fine-tuned from facebook/wav2vec2-large-xlsr-53 for audio emotion detection, capable of recognizing 7 emotional states
Audio Classification Transformers
TransformersA
Hatman
630
8
Distilbert Base Uncased Finetuned Emotion
Apache-2.0
A text classification model fine-tuned on the emotion dataset based on DistilBERT, designed to recognize six basic emotions (anger, fear, joy, love, sadness, and surprise).
Text Classification Transformers English
Transformers EnglishD
esuriddick
815
3
Hebemo Anticipation
HebEMO is a tool for detecting the sentiment polarity and extracting emotions from modern Hebrew user-generated content (UGC). It is trained based on a unique COVID-19 related dataset.
Text Classification Transformers
TransformersH
avichr
114
0
Hebemo Joy
HebEMO is a tool for detecting the sentiment polarity and extracting emotions from modern Hebrew user-generated content (UGC), which is trained on a unique COVID-19-related dataset.
Text Classification Transformers
TransformersH
avichr
125
0
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