图 书 馆
用主题模型描述微博Characterizing Microblogs with Topic Models |
|
| 课程网址: | http://videolectures.net/icwsm2010_ramage_cmt/ |
| 主讲教师: | Daniel Ramage |
| 开课单位: | 斯坦福大学 |
| 开课时间: | 2010-06-29 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | As microblogging grows in popularity, services like Twitter are coming to support information gathering needs above and beyond their traditional roles as social networks. But most users’ interaction with Twitter is still primarily focused on their social graphs, forcing the often inappropriate conflation of “people I follow” with “stuff I want to read.” We characterize some information needs that the current Twitter interface fails to support, and argue for better representations of content for solving these challenges. We present a scalable implementation of a partially supervised learning model (Labeled LDA) that maps the content of the Twitter feed into dimensions. These dimensions correspond roughly to substance, style, status, and social characteristics of posts. We characterize users and tweets using this model, and present results on two information consumption oriented tasks. |
| 关 键 词: | 信息收集; 社交网络; 部分监督学习 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-26：lxf |
| 阅读次数: | 36 |