Recently, user recognition methods to authenticate personal identity has attracted significant attention especially with increased availability of various internet things (IoT) services through fifth-generation technology (5G) based mobile devices. The EMG signals generated inside the body unique individual characteristics are being studied as a part next-generation methods. However, there is l...

The aim of this project is to investigate and develop new machine learning techniques which can be applied to agent based applications such as those that assist in information filtering. The motivation for this work emerged from reviewing the literature on Interface Agents, and applying existing machine learning techniques to an intelligent interface agent which filtered incoming electronic mai...

This paper describes preliminary work in exploring the relative effectiveness of speech versus text based tutoring. Most current tutorial dialogue systems are text based (Evens et al., 2001; Rose and Aleven, 2002; Zinn et al., 2002; Aleven et al., 2001; VanLehn et al., 2002). However, prior studies have shown considerable benefits of tutoring through spoken interactions (Lemke, 1990; Chi et al....

From applied linguistic point of view, the fundamental question facing the language teachers, methodologists and course designers is which procedure is more effective in FL/SL: learning to use or using to learn? Definitely, in order to be a competent language user, knowledge of language system is necessary, but it is not sufficient to be a successful language user. That is why there was a gradu...

Presently, text mining in e-commerce reviews predominantly focus on singular sentiment analysis, yet constraints persist score computation, semantic inclination discernment, and lexicon construction. To address these limitations, this study establishes an user comment management system based mining. It performs part-of-speech tagging dependency grammar analysis the historical corpus of e-commer...