图 书 馆
推特中反讽和幽默的自动检测Automatic Detection of Irony and Humour in Twitter |
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| 课程网址: | http://videolectures.net/iccc2014_barbieri_automatic_detection/ |
| 主讲教师: | Francesco Barbieri |
| 开课单位: | 庞培法布拉大学 |
| 开课时间: | 2014-08-08 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Irony and humour are just two of many forms of figurative language. Approaches to identify in vast volumes of data such as the internet humorous or ironic statements is important not only from a theoretical viewpoint but also for their potential applicability in social networks or human- computer interactive systems. In this study we investigate the automatic detection of irony and humour in social networks such as Twitter casting it as a classification problem. We propose a rich set of features for text interpretation and representation to train classification procedures. In cross-domain classification experiments our model achieves and improves state-of-the-art performance. |
| 关 键 词: | 反讽和幽默; 自动检测; 人机交互系统 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-10-21：zkj |
| 最后编审: | 2021-10-21：zkj |
| 阅读次数: | 52 |