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Emotion Recognition

68 papers with code · Computer Vision

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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.

EMOTION CLASSIFICATION EMOTION RECOGNITION IN CONVERSATION

Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling

11 Oct 2019SenticNet/conv-emotion

Given the large amount of available conversational data, we investigate whether generative conversational models can be leveraged to transfer affective knowledge for the target task of detecting emotions in context.

EMOTION RECOGNITION IN CONVERSATION TRANSFER LEARNING

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.

EMOTION CLASSIFICATION EMOTION RECOGNITION IN CONVERSATION

Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances

8 May 2019SenticNet/conv-emotion

Emotion is intrinsic to humans and consequently emotion understanding is a key part of human-like artificial intelligence (AI).

EMOTION RECOGNITION IN CONVERSATION

ExpNet: Landmark-Free, Deep, 3D Facial Expressions

2 Feb 2018fengju514/Expression-Net

Our ExpNet CNN is applied directly to the intensities of a face image and regresses a 29D vector of 3D expression coefficients.

 SOTA for 3D Facial Expression Recognition on 2017_test set (using extra training data)

3D FACIAL EXPRESSION RECOGNITION EMOTION RECOGNITION FACIAL LANDMARK DETECTION

Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors

23 Nov 2018A2Zadeh/CMU-MultimodalSDK

Humans convey their intentions through the usage of both verbal and nonverbal behaviors during face-to-face communication.

EMOTION RECOGNITION MULTIMODAL SENTIMENT ANALYSIS

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

ACL 2019 SenticNet/MELD

We propose several strong multimodal baselines and show the importance of contextual and multimodal information for emotion recognition in conversations.

DIALOGUE GENERATION EMOTION RECOGNITION

DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques

8 Oct 2018marcoguerini/DepecheMood

Several lexica for sentiment analysis have been developed and made available in the NLP community.

EMOTION RECOGNITION SENTIMENT ANALYSIS