Liyana Shuib

ORCID: 0000-0002-7907-0671
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Research Areas
  • Technology Adoption and User Behaviour
  • Mobile Learning in Education
  • Sentiment Analysis and Opinion Mining
  • Digital Marketing and Social Media
  • Text and Document Classification Technologies
  • Advanced Text Analysis Techniques
  • Recommender Systems and Techniques
  • Technology-Enhanced Education Studies
  • Online Learning and Analytics
  • Big Data and Business Intelligence
  • Artificial Intelligence in Healthcare and Education
  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Innovative Teaching and Learning Methods
  • Artificial Intelligence in Healthcare
  • COVID-19 diagnosis using AI
  • Impact of Technology on Adolescents
  • Learning Styles and Cognitive Differences
  • Online and Blended Learning
  • Energy Load and Power Forecasting
  • Organizational and Employee Performance
  • Topic Modeling
  • Educational Games and Gamification
  • Knowledge Management and Sharing
  • Data Mining Algorithms and Applications

University of Malaya
2016-2025

Information Technology University
2009-2019

Institute for Infocomm Research
2015

National University of Malaysia
2007

Purpose – The purpose of this paper is to investigate the factors that influence Facebook usage among small and medium enterprises (SMEs). In addition, it examines impact on financial non-financial performance SMEs. Design/methodology/approach Using integrated model, study examined compatibility, cost effectiveness, interactivity trust its subsequent organizations performance. Statistical analyses were based data collected, through survey questionnaire from 259 SMEs in Malaysia. Partial...

10.1108/imds-07-2014-0205 article EN Industrial Management & Data Systems 2015-04-08

Abstract Big data is an essential aspect of innovation which has recently gained major attention from both academics and practitioners. Considering the importance education sector, current tendency moving towards examining role big in this sector. So far, many studies have been conducted to comprehend application different fields for various purposes. However, a comprehensive review still lacking education. Thus, study aims conduct systematic on order explore trends, classify research...

10.1186/s41239-020-00223-0 article EN cc-by International Journal of Educational Technology in Higher Education 2020-11-02

Mobile devices have become an important tool in higher education. Although mobile several benefits for students, the use of these is still very limited among students. This low percentage usage could be attributed to reasons, both technical and non-technical. Therefore, there a need conduct more research order understand necessary factors that would lead enhanced student usage, thus achieving sustainable learning. In achieve that, our study proposes model by employing unified theory...

10.3390/su13041856 article EN Sustainability 2021-02-08

Advancements in information and communication technology, online web users have given attention to the virtual representation of each user, which is crucial for effective service personalization. Meeting need preferences an ongoing challenge This issue can be addressed through building a comprehensive user profile. A profile summary user's interests, characteristics, behaviours, preferences, while profiling system collecting, organizing inferring information. Many reviews on been conducted...

10.1109/access.2019.2944243 article EN cc-by IEEE Access 2019-01-01

In recent years, different types of review systems have been developed with the recommender system (RS). RSs are based on user textual reviews, ratings, and comparative opinions. for social media resources, such as blogs, forums, network websites, bookmarking video portals, chat portals help users to collaborate effectively. Social resources used in RS recommending contents, articles, news, e-commerce products, users. Although research has increased annually, comprehensive literature...

10.1109/access.2018.2810062 article EN cc-by-nc-nd IEEE Access 2018-01-01

Personal and business users prefer to use e-mail as one of the crucial sources communication. The usage importance e-mails continuously grow despite prevalence alternative means, such electronic messages, mobile applications, social networks. As volume business-critical continues grow, need automate management increases for several reasons, spam classification, phishing multi-folder categorization, among others. This paper comprehensively reviews articles on classification published in...

10.1109/access.2017.2702187 article EN cc-by-nc-nd IEEE Access 2017-01-01

Currently, the power to master English language has become prominent in academia, research, and business. Therefore, many non-English speaking countries, including Arab are striving improve their education systems teaching as a foreign language, vocabulary is an important factor boost proficiency among students. Moreover, there lack of motivation learners which affects learning process As such, digital gaming technologies, especially mobile games, emerging best way create enthusiasm for new...

10.1109/access.2019.2891504 article EN cc-by-nc-nd IEEE Access 2019-01-01

Mobile learning (m-learning) is increasingly becoming a popular global trend, especially among English language learners. However, despite the growing interest in mobile learning, there have been no reviews of research conducted on this subject. This paper represents first attempt to provide comprehensive analysis existing literature (2010-2015) identify taxonomy and distribution as well advantages challenges some recommendations facilitate effective use its applications. Following review...

10.1109/access.2017.2749541 article EN cc-by-nc-nd IEEE Access 2017-01-01

Sarcasm is a complicated linguistic term commonly found in e-commerce and social media sites. Failure to identify sarcastic utterances Natural Language Processing applications such as sentiment analysis opinion mining will confuse classification algorithms generate false results. Several studies on sarcasm detection have utilised different learning algorithms. However, most of these models always focused the contents expression only, leaving contextual information isolation. As result, they...

10.1109/access.2021.3068323 article EN cc-by IEEE Access 2021-01-01
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