| 発表年月日 | 2012/09 |
|---|---|
| 発表テーマ | Automatic Tweaking of Confounding Training Tweets for Improving Classification Accuracy |
| 会議名 | Forum of Information Technology FIT2012,2012年9月 |
| 学会区分 | 全国学会 |
| 発表形式 | 口頭（一般） |
| 発表者・共同発表者 | Muhammad Asif Hossain Khan・Masayuki Iwai・Kaoru Sezaki |
| 概要 | Twitter has become a valuable source of information for extracting early symptoms to predict changes in different economic and social indicators. However, misclassification of relevant tweets can easily lead to a cry wolf situation. We have presented a framework to automatically identify noisy tweets in the training set that may confound the judgment of a classifier. |