We consider the problem of constructing optimal designs for model discrimination between competing regression models. Various new properties of optimal designs with respect to the popular T-optimality criterion are derived, which in many circumstances allow an explicit determination of T-optimal...

Many text mining methods have used statistical information as text and language-independent procedures that are not deterministic. Text mining methods based on stochastic patterns and rules need many samples to train. On the other hand, deterministic and non-probabilistic methods are easy to...

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...