图 书 馆
使用指向结构化数据源的超链接改进社交媒体中的分类Improving Categorisation in Social Media using Hyperlinks to Structured Data Sources |
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| 课程网址: | http://videolectures.net/eswc2011_kinsella_improving/ |
| 主讲教师: | Sheila Kinsella |
| 开课单位: | 爱尔兰国立大学 |
| 开课时间: | 2011-07-07 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Social media presents unique challenges for topic classification, including the brevity of posts, the informal nature of conversations, and the frequent reliance on external hyperlinks to give context to a conversation. In this paper we investigate the usefulness of these external hyperlinks for determining the topic of individual posts. We focus our analysis on objects which have related metadata available on the Web, either via APIs or as Linked Data. Our experiments show that the inclusion of metadata from hyperlinked objects in addition to the original post content significantly improved classifier performance on two disparate datasets. We found that including selected metadata from APIs and Linked Data gave better results than including text from HTML pages. We also make use of the semantics of the data to compare the usefulness of different types of external metadata for topic classification in a social media dataset. |
| 关 键 词: | 社交媒体; 非正式性; 外部超链接 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-15：heyf |
| 阅读次数: | 50 |