GLP-1 Social Conversations Sample Dataset

This sample data set provides a curated collection of public social media conversations focused on **GLP-1** receptor agonist medications, including Ozempic, Wegovy, Mounjaro, Saxenda, and related treatments. The dataset is a random sample of content from the trailing three complete calendar months, refreshed monthly, featuring insights into consumer perceptions, motivations, and behaviors related to GLP-1 brands. Each record includes detailed metadata such as the publication timestamp, community source, and post title. Author and username information is masked and hashed, URLs are excluded from all tables, and text content — including author profile descriptions and post text — has been redacted to remove personally identifiable information (PII). This data set empowers data analysts, market researchers, and healthcare professionals to better understand real-world consumer conversations and informational trends circulating within GLP-1 communities. Its schema is ideal for NLP use cases, sentiment tracking, and as a training set for building models that classify or summarize health-related social media content. **AI-Ready Data:** This listing includes Cortex Search Services and Semantic Views, making it ready for use with AI agents and natural language queries.

搜集汇总

背景与挑战

背景概述

该数据集是一个关于GLP-1受体激动剂药物的社交媒体对话随机样本，涵盖近三个月的公开内容并每月更新，用于分析消费者对相关品牌的认知和行为。数据经过匿名化处理，支持NLP、情感追踪和健康内容分类模型的训练，同时具备AI就绪功能，便于自然语言查询和分析。