PSST: A Web-Based System for Tracking Political Statements

摘要：

Determining candidates’ views on important issues is critical in deciding whom to support and vote for; but finding their statements and votes on an issue can be laborious. In this paper we present PSST, (Political Statement and Support Tracker), a search engine to facilitate analysis of political statements and votes over time. We show that prior tools for text analysis can be combined with minimal manual pro-cessing to provide a first step in the full automation of this process.

作者: Samantha Kleinberg Bud Mishra

作者单位: Courant Institute of Mathematical Sciences, New York University New York, NY, USA

会议类型: 国际会议

会议名称: 第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-04-21（万方平台首次上网日期，不代表论文的发表时间）