地球资源数据云——数据资源详情
情绪识别数据集 NLP
该数据集《Emotion Recognition Dataset NLP》主要用于多分类任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：A Powerful Resource for Teaching Emotion Detection and Sentiment Analysis 任务类型：文本多分类。 建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：Emotion_classify_Data.csv。 Overview: The Emotion Classification dataset is curated to support research and practical applications in natural language processing (NLP) and emotion detection. It includes a variety of text samples, each categorized by the specific emotion expressed. Emotions range from positive states like joy to negative ones like fear and anger, offering a wide scope for analysis. Content: Format: CSV Labels: ['anger', 'joy', 'fear']
摘要概览
该数据集《Emotion Recognition Dataset NLP》主要用于多分类任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：A Powerful Resource for Teaching Emotion Detection and Sentiment Analysis
任务类型：文本多分类。
建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：Emotion_classify_Data.csv。
Overview:
The Emotion Classification dataset is curated to support research and practical applications in natural language processing (NLP) and emotion detection. It includes a variety of text samples, each categorized by the specific emotion expressed.
Emotions range from positive states like joy to negative ones like fear and anger, offering a wide scope for analysis.
Content:
Format: CSV Labels: ['anger', 'joy', 'fear']