图 书 馆
检测twitter流数据中的情绪变化Detecting Sentiment Change in Twitter Streaming Data |
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| 课程网址: | http://videolectures.net/wapa2011_bifet_sentiment/ |
| 主讲教师: | Albert Bifet |
| 开课单位: | 国立高等电信学校 |
| 开课时间: | 2011-11-11 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | MOA-TweetReader is a real-time system to read tweets in real time, to detect changes, and to find the terms whose frequency changed. Twitter is a micro-blogging service built to discover what is happening at any moment in time, anywhere in the world. Twitter messages are short, and generated constantly, and well suited for knowledge discovery using data stream mining. MOA-TweetReader is a software extension to the MOA framework. Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA-TweetReader is released under the GNU GPL license. |
| 关 键 词: | 实时系统; 数据流; 软件扩展 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-27：cwx |
| 阅读次数: | 36 |