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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.

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Datasets

Latest papers without code

AdCOFE: Advanced Contextual Feature Extraction in Conversations for emotion classification

9 Apr 2021

Emotion recognition in conversations is an important step in various virtual chat bots which require opinion-based feedback, like in social media threads, online support and many more applications.

EMOTION CLASSIFICATION EMOTION RECOGNITION KNOWLEDGE GRAPHS

Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework

29 Mar 2021

Affect analysis and recognition can be seen as a dual knowledge generation problem, involving: i) creation of new, large and rich in-the-wild databases and ii) design and training of novel deep neural architectures that are able to analyse affect over these databases and to successfully generalise their performance on other datasets.

ACTION UNIT DETECTION EMOTION CLASSIFICATION FACIAL ACTION UNIT DETECTION

Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders

16 Dec 2020

The classifier achieved 66. 9% balanced accuracy and 67. 4% F1-score on the entirety of CAFE as well as 79. 1% balanced accuracy and 78. 0% F1-score on CAFE Subset A, a subset containing at least 60% human agreement on emotions labels.

EMOTION CLASSIFICATION

Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets

10 Dec 2020

In this paper, we present an experiment on using deep learning and transfer learning techniques for emotion analysis in tweets and suggest a method to interpret our deep learning models.

EMOTION CLASSIFICATION EMOTION RECOGNITION TRANSFER LEARNING

Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation

25 Nov 2020

First, we generate an adapted domain to align the source and target domains on the pixel-level by improving CycleGAN with a multi-scale structured cycle-consistency loss.

EMOTION CLASSIFICATION EMOTION RECOGNITION UNSUPERVISED DOMAIN ADAPTATION

Investigating Emotion-Color Association in Deep Neural Networks

22 Nov 2020

The representations learned by deep neural networks can indeed show an emotion-color association 2.

EMOTION CLASSIFICATION OBJECT CLASSIFICATION

Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification

20 Nov 2020

To address this problem, this paper proposes a framework to tackle the limitation in performing emotional state recognition on multiple multimodal datasets: 1) encoding multivariate time series data into coloured images; 2) leveraging pre-trained object recognition models to apply a Transfer Learning (TL) approach using the images from step 1; 3) utilising a 1D Convolutional Neural Network (CNN) to perform emotion classification from physiological data; 4) concatenating the pre-trained TL model with the 1D CNN.

4 EMOTION CLASSIFICATION OBJECT RECOGNITION TIME SERIES TRANSFER LEARNING

Domain Adaptation based Technique for Image Emotion Recognition using Pre-trained Facial Expression Recognition Models

17 Nov 2020

In this paper, a domain adaptation based technique for recognizing the emotions in images containing facial, non-facial, and non-human components has been proposed.

DOMAIN ADAPTATION EMOTION CLASSIFICATION EMOTION RECOGNITION FACIAL EXPRESSION RECOGNITION