图 书 馆
从推文到民意调查：将文本情感与民意时间序列联系起来From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series |
|
| 课程网址: | http://videolectures.net/icwsm2010_oconnor_ftp/ |
| 主讲教师: | Brendan O'Connor |
| 开课单位: | 卡内基梅隆大学 |
| 开课时间: | 2010-06-29 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We connect measures of public opinion measured from polls with sentiment measured from text. We analyze several surveys on consumer confidence and political opinion over the 2008 to 2009 period, and find they correlate to sentiment word frequencies in contemporaneous Twitter messages. While our results vary across datasets, in several cases the correlations are as high as 80%, and capture important large-scale trends. The results highlight the potential of text streams as a substitute and supplement for traditional polling. consumer confidence and political opinion, and can also pre- dict future movements in the polls. We find that temporal smoothing is a critically important issue to support a successful model. |
| 关 键 词: | 文本流; 民意调查; 成功模型 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-22：chenxin |
| 阅读次数: | 51 |