图 书 馆
线路之间的连接：充实社会网络与文本Connections between the Lines: Augmenting Social Networks with Text |
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| 课程网址: | http://videolectures.net/kdd09_chang_cbtl/ |
| 主讲教师: | Jonathan Chang |
| 开课单位: | 脸书公司 |
| 开课时间: | 2009-09-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Network data is ubiquitous, encoding collections of relationships between entities such as people, places, genes, or corporations. While many resources for networks of interesting entities are emerging, most of these can only annotate connections in a limited fashion. Although relationships between entities are rich, it is impractical to manually devise complete characterizations of these relationships for every pair of entities on large, real-world corpora. In this paper we present a novel probabilistic topic model to analyze text corpora and infer descriptions of its entities and of relationships between those entities. We develop variational methods for performing approximate inference on our model and demonstrate that our model can be practically deployed on large corpora such as Wikipedia. We show qualitatively and quantitatively that our model can construct and annotate graphs of relationships and make useful predictions. |
| 关 键 词: | 线路; 连接; 社会网络; 网络数据 |
| 课程来源: | 视频演讲网 |
| 最后编审: | 2020-06-19：cxin |
| 阅读次数: | 44 |