Sentiment analysis is crucial in understanding and analyzing public opinions, feedback, and social media data. In this study, we propose a modified Bayesian Boosting algorithm with weight-guided optimal feature selection for sentiment analysis. The goal is to improve the accuracy and efficiency...

In dynamic environments, making classification decisions based on classical intelligent decision support systems is a challenge, as the classification performance of decision-making and the time-cost of learning need to be considered simultaneously. Moreover, many tasks of classification...