ABSTRACT A wide variety of consumer data are available, including data that consumers make available online to the public for free. Because online users talk a lot about TV shows and brands online, these messages can be used to measure TV and brand audiences and help marketers answer questions about who is talking, what they are saying, and where to find them. However, the demographics of online users typically need to be inferred. We propose the use of “Talkographics,” which consists of combining publicly available text data from Twitter and data from the Facebook ads platform and the IMDb database in a novel way that enables group-level prediction of the demographics and interests of a large number of audiences. In addition, we demonstrate that group-level predictions can be used reliably in the context of building affinity networks and propose a recommender system using these Talkographic profiles.

中文翻译：

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Talkographics：从用户生成的内容中衡量电视和品牌受众人口统计数据和兴趣

摘要 可以获得各种各样的消费者数据，包括消费者在网上免费向公众提供的数据。由于在线用户在网上经常谈论电视节目和品牌，因此这些消息可用于衡量电视和品牌受众，并帮助营销人员回答有关谁在说话、他们在说什么以及在哪里找到他们的问题。但是，通常需要推断在线用户的人口统计数据。我们建议使用“Talkographics”，它包括以一种新颖的方式结合来自 Twitter 的公开文本数据和来自 Facebook 广告平台和 IMDb 数据库的数据，从而能够对大量人群的人口统计和兴趣进行群体级别的预测。观众。此外，