2024年麻疹爆发相关视频情感分析标签数据集

本数据集由埃默里大学创建，名为‘2024年麻疹爆发相关视频情感分析标签数据集’，包含4011个视频数据，主要来源于YouTube和TikTok等264个网站。数据集涵盖视频的URL、标题、描述和发布日期等属性，通过VADER、TextBlob和DistilRoBERTa-base模型进行情感、主观性和细粒度情感分析，分类为正面、负面、中性及特定情感类别。该数据集旨在支持机器学习算法在情感分析领域的训练与测试，以及解决公共卫生紧急事件中的信息传播问题。

This dataset was created by Emory University and titled "Sentiment Analysis Labeled Dataset for Videos Related to the 2024 Measles Outbreak". It contains 4,011 video samples, primarily sourced from 264 websites including YouTube and TikTok. The dataset includes attributes such as video URLs, titles, descriptions, and publication dates. Sentiment, subjectivity, and fine-grained sentiment analyses were conducted using the VADER, TextBlob, and DistilRoBERTa-base models, with the samples categorized into positive, negative, neutral, and specific sentiment categories. This dataset aims to support the training and testing of machine learning algorithms in the field of sentiment analysis, as well as address issues related to information dissemination during public health emergencies.