首页> 外文会议>Workshop on natural language processing and computational social sciences >User profiling with geo-located posts and demographic data
【24h】

User profiling with geo-located posts and demographic data

机译:用地理位置信息和人口统计数据对用户进行分析

获取原文
获取原文并翻译 | 示例

摘要

This paper presents a novel method for user profiling in social media that makes use of geo-location information associated with social media posts to avoid the need for self-reported data. These posts are combined with two publicly available sources of demographic information to automatically create data sets in which posts are labelled with socio-economic status. The data sets are linked by identifying each user's 'home location'. Analysis indicates that the nature of the demographic information is an important factor in performance of this approach.
机译:本文提出了一种在社交媒体中进行用户配置的新颖方法,该方法利用与社交媒体帖子相关联的地理位置信息来避免需要自我报告的数据。这些职位与两个可公开获得的人口统计信息源结合在一起,以自动创建数据集,在其中标记有社会经济地位的职位。通过识别每个用户的“家庭位置”来链接数据集。分析表明,人口统计学信息的性质是执行此方法的重要因素。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号