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A modified Bayesian boosting algorithm with weight-guided optimal feature selection for sentiment analysis

Nayak, Smitha; Savita; Sharma, Yogesh Kumar - In: Decision analytics journal 8 (2023), pp. 1-13

study, we propose a modified Bayesian Boosting algorithm with weight-guided optimal feature selection for sentiment analysis … and utilizing an optimized boosting algorithm. The proposed algorithm leverages the strength of the Bayesian framework and …. The algorithm employs a modified Bayesian boosting algorithm to optimize the boosting process. It dynamically adjusts the …

Persistent link: https://www.econbiz.de/10014517151

Unmasking the twitterverse : analyzing sentiments towards DeFi

Walia, Nidhi; Bandha, Poonam; Goyal, Naina - In: Mudra : journal of finance and accounting 11 (2024) 1, pp. 36-57

Persistent link: https://www.econbiz.de/10015063487

Improving churn prediction using imperialist competitive algorithm for feature selection in telecom

Abbasimehr, Hossein; Bahrini, Aram - In: International journal of business information systems : … 45 (2024) 4, pp. 490-502

Persistent link: https://www.econbiz.de/10015061811

EPedagogy in online learning : new developments in web mediated human computer interaction

McKay, Elspeth (contributor) - 2013

Managing expectations: a changing landscape / Jo Coldwell-Neilson -- The role of social media as a tool for learning / Carole A. Bagley, William H. Creswell -- Assessment and learning partnerships in an online environment / Patrick Griffin ... [et al.] -- Development of the assessment design and...