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Emotion Recognition in Conversation

9 papers with code · Natural Language Processing
Subtask of Emotion Recognition

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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

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations

1 Nov 2018SenticNet/conv-emotion

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

Multilogue-Net: A Context Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in Conversation

arXiv preprint 2020 amanshenoy/multilogue-net

Sentiment Analysis and Emotion Detection in conversation is key in a number of real-world applications, with different applications leveraging different kinds of data to be able to achieve reasonably accurate predictions.

EMOTION RECOGNITION IN CONTEXT EMOTION RECOGNITION IN CONVERSATION MULTIMODAL EMOTION RECOGNITION MULTIMODAL SENTIMENT ANALYSIS