New Computer Science Applications in Automated Text Identification and Classification for the Social Sciences

社会科学自动文本识别和分类中的新计算机科学应用

• 批准号: 0719703
• 负责人: Frank Baumgartner
• 金额: $ 5.57万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0719703&HistoricalAwards=false
• 关键词: New; Computer; Science; Applications; Automated

New text-based data resources and tools being developed within the computer and information science communities provide many possibilities for new social science applications. Scholars can envision systematic data of greater consistency, flexibility, coverage, and depth of information than previously possible. However, the diffusion of new techniques from the computer science to the social science community has been slow. Social science applications offer important theoretical challenges to computer scientists as the specific variables of interest to political scientists, sociologists, and others differ from other fields. Social scientists have been developing large databases at a rapid pace in recent years. The large established human-coded databases now in existence provide important means by which we can develop and calibrate new computer-based data development tools. Tighter collaborations across these intellectual communities may thus lead to important theoretical and infrastructure advance in both areas. This workshop brings together leading computer scientists with political scientists and sociologists with extensive experience in creating large-scale databases. Social scientists will have the opportunity to learn of the latest computer science research relevant to their needs and the computer scientists will learn of the special problems associated with historical research on public policy, social movements, and legislative activities.

计算机和信息科学界正在开发的新的基于文本的数据资源和工具为新的社会科学应用提供了许多可能性。 学者们可以设想比以前更大的一致性，灵活性，覆盖范围和信息深度的系统数据。 然而，新技术从计算机科学向社会科学界的传播一直很缓慢。 社会科学的应用程序提供了重要的理论挑战，计算机科学家作为特定的变量感兴趣的政治科学家，社会学家，和其他不同的其他领域。 近年来，社会科学家一直在快速开发大型数据库。 现有的大型人类编码数据库为我们开发和校准新的基于计算机的数据开发工具提供了重要手段。 因此，这些知识界之间更紧密的合作可能会在这两个领域带来重要的理论和基础设施进步。该研讨会汇集了领先的计算机科学家，政治科学家和社会学家，他们在创建大型数据库方面拥有丰富的经验。 社会科学家将有机会了解与他们的需求相关的最新计算机科学研究，计算机科学家将了解与公共政策，社会运动和立法活动的历史研究相关的特殊问题。