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Using Machine Learning to Predict the Sentiment of Online Reviews: A New Framework for Comparative Analysis

Malicious web domain identification using online credibility and performance data by considering the class imbalance issue

A targeted and tailored eHealth weight loss program for young women: the Be Positive Be Healthe randomized controlled trial

Design of a technology-enhanced pedagogical framework for a systems and networking administration course incorporating a virtual laboratory

Multi-PSO based classifier selection and parameter optimisation for sentiment polarity prediction

Predicting rating polarity through automatic classification of review texts

A review of contemporary virtual and remote laboratory implementations: observations and findings

Are the most popular users always trustworthy? The case of Yelp

Be positive be healthe: development and implementation of a targeted e-health weight loss program for young women

Exploiting the error correction mechanism in QR codes for secret sharing

Identifying malicious web domains using machine learning techniques with online credibility and performance data

Instilling similarity rating model to combat malicious raters

Segmenting and targeting customers through clusters selection & analysis

A security extension for securing the feedback & rating values in TIDE framework

An adaptive framework allowing active video games to address child obesity

Architecture for security and trust in digital environments (SecuTIDE)

Exertainment: designing active video games to get youth moving

A survey on the usability and effectiveness of web-based trust rating systems

Determining trustworthiness and quality of mobile applications

Modeling decentralized reputation-based trust for initial transactions in digital environments

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