图 书 馆
自然语言处理如何来拯救？提取Natural Language Processing to the Rescue? Extracting |
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| 课程网址: | http://videolectures.net/icwsm2011_verma_awareness/ |
| 主讲教师: | Sudha Verma |
| 开课单位: | 科罗拉多大学 |
| 开课时间: | 2011-08-18 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In times of mass emergency, vast amounts of data are generated via computer-mediated communication (CMC) that are difficult to manually cull and organize into a coherent picture. Yet valuable information is broadcast, and can provide useful insight into time- and safety-critical situations if captured and analyzed properly and rapidly. We describe an approach for automatically identifying messages communicated via Twitter that contribute to situational awareness, and explain why it is beneficial for those seeking information during mass emergencies. We collected Twitter messages from four different crisis events of varying nature and magnitude and built a classifier to automatically detect messages that may contribute to situational awareness, utilizing a combination of hand annotated and automatically-extracted linguistic features. Our system was able to achieve over 80% accuracy on categorizing tweets that contribute to situational awareness. Additionally, we show that a classifier developed for a specific emergency event performs well on similar events. The results are promising, and have the potential to aid the general public in culling and analyzing information communicated during times of mass emergency. |
| 关 键 词: | 计算机; 数据; Twitter |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-29：yumf |
| 阅读次数: | 40 |