Public Opinion Dataset on X Social Media Regarding the Free Nutritious Meal Program (MBG)

This dataset was used in a study entitled "Classification of Public Opinion on Social Media X regarding the Free Nutritional Meal Program (MBG) with the Implementation of the Support Vector Machine (SVM) Algorithm." Data was collected through a scraping process on social media X using keywords related to the Free Nutritional Meal Program (MBG). Data collection was conducted from November 1, 2025, to January 15, 2026, and yielded 7,462 public opinion data points. This dataset consists of 15 metadata attributes: conversation_id_str, created_at, favorite_count, full_text, id_str, image_url, in_reply_to_screen_name, lang, location, quote_count, reply_count, retweet_count, tweet_url, user_id_str, and username. These attributes contain information related to tweet content, publication time, tweet identity, user interactions, and other supporting information obtained from social media platform X. This dataset was compiled as a research data source to analyze public perceptions of the Free Nutritional Meal Program (MBG). The collected data was then used in text mining stages, including preprocessing, sentiment labeling, feature extraction, and classification using the Support Vector Machine (SVM) algorithm. This dataset is expected to support further research in sentiment analysis, text mining, and machine learning, particularly regarding public opinion on government policies on social media.本数据集用于一项题为「基于支持向量机（Support Vector Machine，SVM）算法的社交媒体X平台免费营养餐计划（Free Nutritional Meal Program，MBG）舆情分类研究」的研究。本数据集通过对社交媒体X平台的爬取流程采集，所用检索关键词与免费营养餐计划（MBG）相关。数据采集时段为2025年11月1日至2026年1月15日，最终获取7462条舆情数据。 本数据集包含15项元数据属性，分别为conversation_id_str、created_at、favorite_count、full_text、id_str、image_url、in_reply_to_screen_name、lang、location、quote_count、reply_count、retweet_count、tweet_url、user_id_str及username。上述属性涵盖了从社交媒体X平台获取的推文内容、发布时间、推文标识、用户互动及其他辅助相关信息。 本数据集作为研究数据源构建，用于分析公众对免费营养餐计划（MBG）的认知态度。所采集的数据经文本挖掘各环节处理，包括预处理、情感标注、特征提取及基于支持向量机（SVM）算法的分类任务。本数据集可助力情感分析、文本挖掘及机器学习领域的后续研究，尤其是针对社交媒体上的政府政策舆情相关研究。