MELD: Emotion Recognition Dataset

kaggle2025-02-12 更新2025-02-23 收录

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https://www.kaggle.com/datasets/bhandariprakanda/meld-emotion-recognition

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资源简介：

A dataset for emotion recognition in conversations, featuring multimodal inputs.

本数据集适用于对话情绪识别任务，支持多模态输入（multimodal inputs）。

创建时间：

2025-01-22

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

MELD是一个增强和扩展自EmotionLines的数据集，包含了来自Friends TV系列的超过1400个对话和13000条发言。每个发言都标注了七种情绪之一：愤怒、厌恶、悲伤、喜悦、中性、惊讶和恐惧，并且每个发言都有情感（正、负、中性）标注。

github2022-09-16 更新440

Adaptive multitask emotion recognition and sentiment analysis IEMOCAP, MELD Datasets

These datasets are commonly used for building and training models based on multitask learning, where both emotion recognition and sentiment analysis are jointly optimized. Models developed using these

Figshare2025-02-27 更新00

Adaptive multitask emotion recognition and sentiment analysis IEMOCAP, MELD Datasets

These datasets are commonly used for building and training models based on multitask learning , where both emotion recognition and sentiment analysis are jointly optimized. Models developed usin

DataCite Commons2025-06-01 更新40

MELD-A-Multimodal-Multi-Party-Datasetfor-Emotion-Recognition-in-Conversations

MELD是一个增强和扩展自EmotionLines的数据集，包含了来自《老友记》电视系列的多达1400个对话和13000条语句。每个对话中有多名参与者，每个语句都被标记了七种情绪之一：愤怒、厌恶、悲伤、喜悦、中性、惊讶和恐惧。此外，每个语句还有情感（积极、消极和中性）标注。

github2022-09-16 更新250

Adaptive multitask emotion recognition and sentiment analysis IEMOCAP, MELD Datasets

These datasets are commonly used for building and training models based on multitask learning , where both emotion recognition and sentiment analysis are jointly optimized. Models developed usin

Figshare2025-02-27 更新10