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Vote Prediction on Comments in Social Polls

机译:社会民意测验的投票预测

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摘要

A poll consists of a question and a set of predefined answers from which voters can select. We present the new problem of vote prediction on comments, which involves determining which of these answers a voter selected given a comment she wrote after voting. To address this task, we exploit not only the information extracted from the comments but also extra-textual information such as user demographic information and inter-comment constraints. In an evaluation involving nearly one million comments collected from the popular SodaHead social polling website, we show that a vote prediction system that exploits only textual information can be improved significantly when extended with extra-textual information.
机译:投票由一个问题和一组预定义的答案组成,投票者可以从中进行选择。我们提出了对投票进行投票预测的新问题,该问题涉及确定投票者在投票后写的评论中选择了哪些答案。为了解决此任务,我们不仅利用从注释中提取的信息,还利用文本外信息,例如用户人口统计信息和注释间约束。在一项评估中,该评估涉及从受欢迎的SodaHead社会民意测验网站收集的近一百万条评论,我们显示,仅使用文本信息的投票预测系统可以通过扩展文本外信息来显着改善。

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