why do binary sentiment features diverge why do sentiment classifications diverge and converge what is the highest accuracy of a binary classifier and why does it diverge what is the main criterion for binary sentiment classification? why do k features diverge what is the best model (main criterion is f-measure) and the best size of k according to the graphs? what is the best model (main criterion is f-measure) and the best size of k according to the graphs? why does sentiment diverge what model is best for binary classification what is the best binary sentiment model why does the model diverge and converge which model reflects the accuracy of the f-measure algorithm in the svm? how do binary classes differ what is the best classifier which algorithm best describes the convergent divergence of the top k features for a binary sentiment classification? what is the best model what is the optimal model (main criterion is the f-measure) how to classify sentiment which model is the best criterion for predicting positive classes? which algorithm predicts the top k features that are negative?