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Items where Author is "Onifade, Olufade F.W"

Items where Author is "Onifade, Olufade F.W"

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Churn prediction customer relationship management decision Support opinion mining Roberta model
Number of items: 5.

Churn prediction

Ibitoye, Ayodeji ORCID: 0000-0002-5631-8507 and Onifade, Olufade F.W (2023) Utilizing RoBERTa model for Churn prediction through clustered contextual conversation opinion mining. International Journal of Intelligent Systems and Applications (IJISA), 15 (6). pp. 1-8. ISSN 1740-8865 (Print), 1740-8873 (Online) (doi:https://doi.org/10.5815/ijisa.2023.06.01)

customer relationship management

Ibitoye, Ayodeji ORCID: 0000-0002-5631-8507 and Onifade, Olufade F.W (2023) Utilizing RoBERTa model for Churn prediction through clustered contextual conversation opinion mining. International Journal of Intelligent Systems and Applications (IJISA), 15 (6). pp. 1-8. ISSN 1740-8865 (Print), 1740-8873 (Online) (doi:https://doi.org/10.5815/ijisa.2023.06.01)

decision Support

Ibitoye, Ayodeji ORCID: 0000-0002-5631-8507 and Onifade, Olufade F.W (2023) Utilizing RoBERTa model for Churn prediction through clustered contextual conversation opinion mining. International Journal of Intelligent Systems and Applications (IJISA), 15 (6). pp. 1-8. ISSN 1740-8865 (Print), 1740-8873 (Online) (doi:https://doi.org/10.5815/ijisa.2023.06.01)

opinion mining

Ibitoye, Ayodeji ORCID: 0000-0002-5631-8507 and Onifade, Olufade F.W (2023) Utilizing RoBERTa model for Churn prediction through clustered contextual conversation opinion mining. International Journal of Intelligent Systems and Applications (IJISA), 15 (6). pp. 1-8. ISSN 1740-8865 (Print), 1740-8873 (Online) (doi:https://doi.org/10.5815/ijisa.2023.06.01)

Roberta model

Ibitoye, Ayodeji ORCID: 0000-0002-5631-8507 and Onifade, Olufade F.W (2023) Utilizing RoBERTa model for Churn prediction through clustered contextual conversation opinion mining. International Journal of Intelligent Systems and Applications (IJISA), 15 (6). pp. 1-8. ISSN 1740-8865 (Print), 1740-8873 (Online) (doi:https://doi.org/10.5815/ijisa.2023.06.01)

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