Food for Thought: Analyzing Public Opinion on the Supplemental Nutrition Assistance Program
Food for Thought: Analyzing Public Opinion on the Supplemental Nutrition Assistance Program
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深思：分析公众对补充营养援助计划的意见
DOI：
10.1080/15228835.2017.1416514
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发表时间：
2018
影响因子：
1.5
通讯作者：
DiSalvo, Carl
中科院分区：
文献类型：
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作者：
Scott, Dorris;Oh, Jihwan;Chappelka, Miriam;Walker-Holmes, Mizzani;DiSalvo, Carl
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多的极端情绪，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。
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 online application that the ACFB Advocacy team can use to inform their communication to relevant stakeholders.
使用吉布斯采样的 MIMO 信道估计中的权重优化
DOI：
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发表时间：
2021
期刊：
影响因子：
--
作者：
Shota Hayakawa;Nobuyuki Hirami;Ibuki Nakamura;and Hisato Fujisaka;宮北和之，佐藤風雅，中野敬介;堀川裕貴・石川博康;佐々木重信・齋藤瑞奈;中馬健士郎 眞田幸俊
通讯作者：
中馬健士郎 眞田幸俊