图 书 馆
通过数据精炼改进社交媒体帖子的情感分类Improving Sentiment Classification of Social Media Posts through Data Refinements |
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| 课程网址: | https://videolectures.net/videos/kdd2016_markman_labeled_data |
| 主讲教师: | Vita Markman |
| 开课单位: | KDD 2016研讨会 |
| 开课时间: | 2025-02-04 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Quality training data is essential for building high performance machine learning models. However, certain types of tasks such as opinion mining are inherently subjective, making it hard to elicit reliable judgements from human annotators. The problem is further exacerbated in situations where opinions are elicited on short text such as Tweets or micro reviews containing only one or two lines. The talk addresses various means of circumventing these challenges via automation of some annotation tasks as well as setting up multiple experiments for collecting human judgements. |
| 关 键 词: | 数据精炼; 媒体帖子; 情感分类 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2025-03-16：liyq |
| 最后编审: | 2025-03-16：liyq |
| 阅读次数: | 4 |