Ensemble method for online sentiment classification using drift detection-based adaptive window method
Textual data streams have been widely applied in real-world applications where online users’ expressed their opinions for online products. Mining this stream of data is a challenging task for researchers as a result of changes in data distribution, a phenomenon widely known as concept drift. Most of...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/99835/ http://dx.doi.org/10.1007/978-3-030-98741-1_11 |
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