Dr. Atika Qazi

Research Fellow
University of Malaya, Malaysia


Highest Degree
Ph.D. in Computer Science from University of Malaya, Malaysia

Share this Profile

Area of Interest:

Computer Sciences
Information Technology
Artificial Intelligence
Computer Programming
Computer Network

Selected Publications

  1. Qazi, A., R.G. Raj, G. Hardaker and C. Standing, 2017. A systematic literature review on opinion types and sentiment analysis techniques: Tasks and challenges. Internet Res., 27: 608-630.
    CrossRef  |  

  2. Qazi, A., A. Tamjidyamcholo, R.G. Raj, G. Hardaker and C. Standing, 2017. Assessing consumers' satisfaction and expectations through online opinions: Expectation and disconfirmation approach. Comput. Hum. Behav., 75: 450-460.
    CrossRef  |  Direct Link  |  

  3. Hardaker, G., G. Hardaker, A. Sabki, A. Sabki and A. Qazi et al., 2017. Differences in access to information and communication technologies: Voices of British Muslim teenage girls at Islamic faith schools. Int. J. Inform. Learn. Technol., 34: 351-366.
    CrossRef  |  Direct Link  |  

  4. Waheed, M., K. Kaur and A. Qazi, 2016. Students' perspective on knowledge quality in eLearning context: A qualitative assessment. Internet Res., 26: 120-145.
    CrossRef  |  

  5. Qazi, A., K.B.S. Syed, R.G. Raj, E. Cambria, M. Tahir and D. Alghazzawi, 2016. A concept-level approach to the analysis of online review helpfulness. Comput. Hum. Behav., 58: 75-81.
    CrossRef  |  Direct Link  |  

  6. Qazi, A., H. Fayaz, A. Wadi, R.G. Raj, N.A. Rahim and W.A. Khan, 2015. The artificial neural network for solar radiation prediction and designing solar systems: A systematic literature review. J. Cleaner Prod., 104: 1-12.
    CrossRef  |  Direct Link  |  

  7. Qazi, A., R.G. Raj, M. Tahir, M. Waheed, S.U.R. Khan and A. Abraham, 2014. A preliminary investigation of user perception and behavioral intention for different review types: Customers and designers perspective. Sci. World J., Vol. 2014. 10.1155/2014/872929.
    CrossRef  |  

  8. Qazi, A., R.G. Raj, M. Tahir, E. Cambria and K.B.S. Syed, 2014. Enhancing business intelligence by means of suggestive reviews. Sci. World J., Vol. 2014. 10.1155/2014/879323.
    CrossRef  |