地球资源数据云——数据资源详情

社交媒体参与数据集

该数据集《Social Media Engagement Dataset》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：Synthetic social media activity data for trend 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：Social Media Engagement Dataset.csv。 This machine - generated dataset simulates social media engagement data across various metrics, including likes, shares, comments, impressions, sentiment scores, toxicity, and engagement growth. It is designed for analysis and visualization of trends, buzz frequency, public sentiment, and user behavior on digital platforms. The dataset can be used to: Identify spikes or drops in engagement Analyze changes in sentiment over time Build dashboards for digital trend tracking