Browsing Institutt for IKT og realfag by Author "Iqbal, Farhat"

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    • A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure 

      Nasir, Adeel; Shaukat, Kamran; Hameed, Ibrahim A.; Luo, Suhuai; Mahboob, Talha; Iqbal, Farhat (Peer reviewed; Journal article, 2020)
      Corona pandemic has affected the whole world, and it is a highly researched area in biological sciences. As the current pandemic has affected countries socially and economically, the purpose of this bibliometric analysis ...

    • A Comprehensive Dataset for Bibliometric Analysis of SARS and Coronavirus Impact on Social Sciences 

      Shaukat, Kamran; Alam, Talha Mahboob; Hameed, Ibrahim A.; Luo, Suhuai; Li, Jiaming; Aujla, Gagandeep Kaur; Iqbal, Farhat (Peer reviewed; Journal article, 2020)
      The year 2020 has changed the living style of people all around the world. Corona pandemic has affected the people in all fields of life economically, physically, and mentally. This dataset is a collection of published ...

    • Domain Specific Lexicon Generation through Sentiment Analysis 

      Shaukat, Kamran; Hameed, Ibrahim A.; Luo, Suhuai; Javed, Imran; Iqbal, Farhat; Faisal, Amber; Masood, Rabia; Usman, Ayesha; Shaukat, Usman; Hassan, Rosheen; Younas, Aliya; Ali, Shamshair; Adeem, Ghazif (Peer reviewed; Journal article, 2020)
      Sentiment analysis (SA) is used to extract opinions from a huge amount of data and these opinions are comprised of multiple words. Some words have different semantic meanings in different fields and we call them domain ...

    • A Review of Content-Based and Context-Based Recommendation Systems 

      Javed, Umair; Shaukat, Kamran; Hameed, Ibrahim A.; Iqbal, Farhat; Alam, Talha Mahboob; Luo, Suhuai (Peer reviewed; Journal article, 2021)
      In our work, we have presented two widely used recommendation systems. We have presented a context-aware recommender system to filter the items associated with user’s interests coupled with a context-based recommender ...