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.
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Greatest papers with code
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.
EMOTION CLASSIFICATION LANGUAGE MODELLING SENTIMENT ANALYSIS
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
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".
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.
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
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.
Minimax Filter: Learning to Preserve Privacy from Inference Attacks
The paper proposes a novel filter-based mechanism which preserves privacy of continuous and high-dimensional attributes against inference attacks.
ntuer at SemEval-2019 Task 3: Emotion Classification with Word and Sentence Representations in RCNN
SEMEVAL 2019
• zhongpeixiang/SemEval2019-Task3-EmotionDetection
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In this paper we present our model on the task of emotion detection in textual conversations in SemEval-2019.