INFORMATION EXTRACTION OF TRAFFIC CONDITION FROM SOCIAL MEDIA USING BIDIRECTIONAL LSTM-CNN
Today's social media, especially the Twitter platform has become the most popular information source to find out the traffic conditions in real-time. Generally the use of information posted on Twitter is used for short-term purposes, only to find out the congestion points during the event. If t...
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| 格式: | Theses |
| 語言: | Indonesia |
| 在線閱讀: | https://digilib.itb.ac.id/gdl/view/29049 |
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| 機構: | Institut Teknologi Bandung |
| 語言: | Indonesia |
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