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...
Main Authors: | Rabiu, Idris, Salim, Naomie, Nasser, Maged, Saeed, Faisal, Alromema, Waseem, Awal, Aisha, Joseph, Elijah, Mishra, Amit |
---|---|
Format: | Article |
Published: |
Springer Science and Business Media Deutschland GmbH
2022
|
Subjects: |
Similar Items
-
Ensemble method for online sentiment classification using drift detection-based adaptive window method
by: Rabiu, Idris, et al.
Published: (2022) -
Ensemble method for online sentiment classification using drift detection-based adaptive window method
by: Rabiu, Idris, et al.
Published: (2022) -
Drift detection method using distance measures and windowing schemes for sentiment classification
by: Rabiu, Idris, et al.
Published: (2023) -
Modeling sentimental bias and temporal dynamics for adaptive deep recommendation system
by: Rabiu, Idris, et al.
Published: (2022) -
Modeling sentimental bias and temporal dynamics for adaptive deep recommendation system
by: Rabiu, Idris, et al.
Published: (2022)