Design of adaptive ensemble classifier for online sentiment analysis and opinion mining

DataStream mining is a challenging task for researchers because of the change in data distribution during classification, known as concept drift. Drift detection algorithms emphasize detecting the drift. The drift detection algorithm needs to be very sensitive to change in data distribution for dete...

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Detalles Bibliográficos
Autores principales: Kumar, Sanjeev, Singh, Ravendra, Khan, Mohammad Zubair, Noorwali, Abdulfattah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Algorithms and Analysis of Algorithms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8356659/
https://www.ncbi.nlm.nih.gov/pubmed/34435102
http://dx.doi.org/10.7717/peerj-cs.660

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8356659/
https://www.ncbi.nlm.nih.gov/pubmed/34435102
http://dx.doi.org/10.7717/peerj-cs.660

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