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Given text, classify it as 'neutral or no emotion' or as one, or more, of several given emotions that best represent the mental state of the writer.

Benchmarks

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Datasets

Latest papers with code

Facial expression and attributes recognition based on multi-task learning of lightweight neural networks

31 Mar 2021HSE-asavchenko/face-emotion-recognition

Moreover, it is shown that the usage of our neural network as a feature extractor of facial regions in video frames and concatenation of several statistical functions (mean, max, etc.)

EMOTION CLASSIFICATION EMOTION RECOGNITION FACE IDENTIFICATION MULTI-TASK LEARNING

3
31 Mar 2021

Facial expression and attributes recognition based on multi-task learning of lightweight neural networks

31 Mar 2021HSE-asavchenko/face-emotion-recognition

Moreover, it is shown that the usage of our neural network as a feature extractor of facial regions in video frames and concatenation of several statistical functions (mean, max, etc.)

 Ranked #1 on Facial Expression Recognition on AffectNet (using extra training data)

EMOTION CLASSIFICATION FACE IDENTIFICATION FACIAL EXPRESSION RECOGNITION MULTI-TASK LEARNING

3
31 Mar 2021

Emotion Transfer Using Vector-Valued Infinite Task Learning

9 Feb 2021allambert/torch_itl

Style transfer is a significant problem of machine learning with numerous successful applications.

EMOTION CLASSIFICATION STYLE TRANSFER

2
09 Feb 2021

SpanEmo: Casting Multi-label Emotion Classification as Span-prediction

25 Jan 2021hasanhuz/SpanEmo

We propose a new model "SpanEmo" casting multi-label emotion classification as span-prediction, which can aid ER models to learn associations between labels and words in a sentence.

EMOTION CLASSIFICATION EMOTION RECOGNITION

6
25 Jan 2021

Modeling Label Semantics for Predicting Emotional Reactions

ACL 2020 StonyBrookNLP/emotion-label-semantics

Predicting how events induce emotions in the characters of a story is typically seen as a standard multi-label classification task, which usually treats labels as anonymous classes to predict.

EMOTION CLASSIFICATION MULTI-LABEL CLASSIFICATION

17
09 Jun 2020

GoEmotions: A Dataset of Fine-Grained Emotions

ACL 2020 google-research/google-research

Understanding emotion expressed in language has a wide range of applications, from building empathetic chatbots to detecting harmful online behavior.

EMOTION CLASSIFICATION TRANSFER LEARNING

17,005
01 May 2020

Cross-lingual Emotion Intensity Prediction

8 Apr 2020jerbarnes/fine-grained_cross-lingual_emotion

Consequently, we explore cross-lingual transfer approaches for fine-grained emotion detection in Spanish and Catalan tweets.

CROSS-LINGUAL TRANSFER EMOTION CLASSIFICATION MACHINE TRANSLATION

3
08 Apr 2020