The key successful factors of video and mobile game crowdfunding projects using a lexicon-based feature selection approach

An Empirical Study on the Influence of Mobile Games and Mobile Devices for Contemporary Students' Education and Learning Behavior

This paper aims to realize the impact of mobile educational games on contemporary students' learning behavior. Firstly, the research status of educational games is analyzed. Secondly, an online game acceleration method is designed based on deep learning technology. Mobile games and learning behaviors are combined. College students and primary school students are selected as research samples. The main reasons for students' usage of mobile phones are analyzed through a questionnaire survey. In addition, the impact of different social media on students' learning behavior is analyzed. Finally, the experiment is carried out by integrating game elements into the teaching process of primary school students. The results show that about 60% of college students rarely or occasionally play mobile games. The remaining 13% never play games. It shows that many college students play games, but not many have been addicted to games for a long time.

Determining the factors affecting customer satisfaction using an extraction-based feature selection approach

The coronavirus disease 2019 (COVID-19) causes tremendous damages to the world, including threats to human's health and daily activities. Most industries have been affected by this pandemic, particularly the tourism industry. The online travel agencies (OTAs) have suffered from the global tourism market crisis by air travel lockdown in many countries. How online travel agencies can survive at stake and prepare for the post-COVID-19 future has emerged as an urgent issue. This study aims to examine the critical factors of customers' satisfaction to OTAs during the COVID-19 pandemic. A text mining method for feature selection, namely LASSO, was used to deal with online customer reviews and to extract factors that shape customers' satisfaction to OTAs. Results showed that refunds, promptness, easiness and assurance were ranked as the most competitive factors of customers' satisfaction, followed by bad reviews & cheap and excellent service & comparison. New factors to customers' satisfaction were revealed during the global tourism recession. Findings provide OTAs guidelines to reset services priorities during the pandemic crisis.