ClassiNet -- Predicting Missing Features for Short-Text Classification

Danushka Bollegala, Vincent Atanasov, Takanori Maehara +1

The fundamental problem in short-text classification is \emph{feature sparseness} -- the lack of feature overlap between a trained model and a test instance to be classified. We pr…