地球资源数据云——数据资源详情

SocialBuzz 情绪分析

该数据集《SocialBuzz Sentiment Analytics》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：Sentiment Analysis of Social Media Posts & Engagement 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：sentimentdataset.csv。 Dataset Description: SocialBuzz Sentiment Analytics is a curated dataset designed for analyzing sentiments and engagement patterns across social media platforms. It contains text - based social media posts labeled with sentiment categories, along with key interaction metrics such as likes, retweets, and timestamps. This dataset is ideal for sentiment analysis, natural language processing (NLP), trend analysis, and data visualization tasks. Researchers, students, and data enthusiasts can use it to explore how online emotions vary across platforms, time periods, and user engagement levels. The dataset is clean, easy to understand, and suitable for both beginners and intermediate - level projects, making it a great choice for machine learning models, exploratory data analysis, and social media analytics. Dataset Columns Description: | Column Name | Description |