Emotion Classification
Given a tweet, classify it as 'neutral or no emotion' or as one, or more, of eleven given emotions that best represent the mental state of the tweeter.
Leaderboards
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Greatest papers with code
Practical Text Classification With Large Pre-Trained Language Models
• NVIDIA/sentiment-discovery
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Multi-emotion sentiment classification is a natural language processing (NLP) problem with valuable use cases on real-world data.
EMOTION CLASSIFICATION LANGUAGE MODELLING SENTIMENT ANALYSIS
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
IJCNLP 2019
• SenticNet/conv-emotion
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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.
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.
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.
EMOTION CLASSIFICATION EMOTION RECOGNITION IN CONVERSATION MULTIMODAL EMOTION RECOGNITION OPINION MINING
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
Pop Music Highlighter: Marking the Emotion Keypoints
• remyhuang/pop-music-highlighter
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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.
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
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In this paper we present deep-learning models that submitted to the SemEval-2018 Task~1 competition: "Affect in Tweets".
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 IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification
WS 2018
• alexandra-chron/wassa-2018
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In this paper we present our approach to tackle the Implicit Emotion Shared Task (IEST) organized as part of WASSA 2018 at EMNLP 2018.
EMOTION CLASSIFICATION SENTIMENT ANALYSIS TRANSFER LEARNING WORD EMBEDDINGS
Classifying and Visualizing Emotions with Emotional DAN
Classification of human emotions remains an important and challenging task for many computer vision algorithms, especially in the era of humanoid robots which coexist with humans in their everyday life.