Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
We present a new bimanual text entry technique designed for today's dual-joystick game controllers. The left and right joysticks are used to independently select characters f...
This paper investigates the suitability of current phrase sets available in HCI for use with children in text entry experiments. It first examines the use of phrase sets within te...