思考的食物：分析公众对补充营养援助计划的意见
Food for Thought: Analyzing Public Opinion on the Supplemental Nutrition Assistance Program
摘要：
该项目在新闻和社交媒体上探讨公众对补充营养援助计划（SNAP）的意见，并跟踪当选代表对SNAP和粮食不安全问题的投票记录。我们使用机器学习、情感分析和文本挖掘来分析SNAP在国家和州一级的覆盖率，以衡量这些网点随着时间的推移对该计划的看法。结果表明，大多数的新闻报道有负面情绪，更多的党派新闻媒体有更极端的情绪，和集群的负面报道SNAP发生在中西部。我们的最终结果和工具将显示在一个在线应用程序中，ACFB倡导团队可以使用它来通知他们与相关利益相关者的沟通。
英文摘要：
This project explores public opinion on the Supplemental Nutrition Assistance Program (SNAP) in news and social media outlets, and tracks elected representatives' voting records on issues relating to SNAP and food insecurity. We used machine learning, sentiment analysis, and text mining to analyze national and state level coverage of SNAP in order to gauge perceptions of the program over time across these outlets. Results indicate that the majority of news coverage has negative sentiment, more partisan news outlets have more extreme sentiment, and that clustering of negative reporting on SNAP occurs in the Midwest. Our final results and tools will be displayed in an on-line application that the ACFB Advocacy team can use to inform their communication to relevant stakeholders.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
