Emotion Classification Edit Task
Natural Language Processing • Text Classification
About
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
Greatest papers with code
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.
Ranked #1 on
Emotion Classification
on GoEmotions
Real-time Convolutional Neural Networks for Emotion and Gender Classification
• oarriaga/face_classification
•
In this paper we propose an implement a general convolutional neural network (CNN) building framework for designing real-time CNNs.
Practical Text Classification With Large Pre-Trained Language Models
• NVIDIA/sentiment-discovery
• 
Multi-emotion sentiment classification is a natural language processing (NLP) problem with valuable use cases on real-world data.
Ranked #3 on
Emotion Classification
on SemEval 2018 Task 1E-c
(Macro-F1 metric)
EMOTION CLASSIFICATION LANGUAGE MODELLING SENTIMENT ANALYSIS
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
IJCNLP 2019
• SenticNet/conv-emotion
•
Emotion recognition in conversation (ERC) has received much attention, lately, from researchers due to its potential widespread applications in diverse areas, such as health-care, education, and human resources.
Ranked #1 on
Emotion Recognition in Conversation
on SEMAINE
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
Emotion detection in conversations is a necessary step for a number of applications, including opinion mining over chat history, social media threads, debates, argumentation mining, understanding consumer feedback in live conversations, etc.
Ranked #2 on
Emotion Recognition in Conversation
on SEMAINE
EMOTION CLASSIFICATION EMOTION RECOGNITION IN CONVERSATION MULTIMODAL EMOTION RECOGNITION
Multimodal Speech Emotion Recognition Using Audio and Text
• david-yoon/multimodal-speech-emotion
•
Speech emotion recognition is a challenging task, and extensive reliance has been placed on models that use audio features in building well-performing classifiers.
EMOTION CLASSIFICATION MULTIMODAL EMOTION RECOGNITION MULTIMODAL SENTIMENT ANALYSIS SPEECH EMOTION RECOGNITION
Perception for Autonomous Systems (PAZ)
• oarriaga/paz
•
In this paper we introduce the Perception for Autonomous Systems (PAZ) software library.
2D OBJECT DETECTION 6D POSE ESTIMATION DATA AUGMENTATION EMOTION CLASSIFICATION FACE RECOGNITION INSTANCE SEGMENTATION SEMANTIC SEGMENTATION
Pop Music Highlighter: Marking the Emotion Keypoints
• remyhuang/pop-music-highlighter
•
In a previous work, we introduced an attention-based convolutional recurrent neural network that uses music emotion classification as a surrogate task for music highlight extraction, for Pop songs.
Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition
We test our method in the EmotiW 2018 challenge and we gain promising results.
EMOTION CLASSIFICATION MULTIMODAL EMOTION RECOGNITION TRANSFER LEARNING
NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning
SEMEVAL 2018
• cbaziotis/ntua-slp-semeval2018
•
In this paper we present deep-learning models that submitted to the SemEval-2018 Task~1 competition: "Affect in Tweets".