Browsing by Author "Iqbal, Saqib"

Now showing items 1-14 of 14

    • Aspect-Based Sentiment Classification Using Deep Learning and Hybrid of Word Embedding and Contextual Position 

      Ahmad, Waqas; Khan, Hikmat Ullah; Alarfaj, Fawaz Khaled; Iqbal, Saqib; Alomair, Abdullah Mohammad; Almusallam, Naif (Tech Science Press, 2023)
      Aspect-based sentiment analysis aims to detect and classify the sentiment polarities as negative, positive, or neutral while associating them with their identified aspects from the corresponding context. In this regard, ...

    • Association Rule Analysis-Based Identification of Influential Users in the Social Media 

      Iqbal, Saqib; Khan, Rehan; Khan, Hikmat Ullah; Alarfaj, Fawaz Khaled; Alomair, Abdullah Mohammed; Ahmed, Muzamil (Tech Science Press, 2022)
      The exchange of information is an innate and natural process that assist in content dispersal. Social networking sites emerge to enrich their users by providing the facility for sharing information and social interaction. ...

    • Attention-based Multi-Channel Gated Recurrent Neural Networks: A Novel Feature-centric Approach for Aspect-based Sentiment Classification 

      Ahmad, Waqas; Khan, Hikmat Ullah; Iqbal, Tassawar; Iqbal, Saqib (Institute of Electrical and Electronics Engineers Inc., 2023)
      Sentiment analysis is an active research domain of the current era, thanks to its vast applications. In the meantime, its main objective is to classify the polarity of the context as positive, negative, or neutral. Thus, ...

    • DS-Index: Ranking Authors Distinctively in an Academic Network 

      Farooq, Muhammad Umer; Khan, Hikmat Ullah; Iqbal, Saqib; Munir, Ehsan Ullah; Shahzad, Ajmal (Institute of Electrical and Electronics Engineers Inc., 2017)
      The impact and productivity of researchers are assessed using bibliometric parameters, such as the number of publications and citation analysis. A number of indices exist that use these parameters, but almost all of them ...

    • Exploring Diverse Features for Sentiment Quantification Using Machine Learning Algorithms 

      Ayyub, Kashif; Iqbal, Saqib; Munir, Ehsan Ullah; Nisar, Muhammad Wasif; Abbasi, Momna (Institute of Electrical and Electronics Engineers Inc., 2020)
      In the era of web 2.0, online forums, blogs and Twitter are becoming primary sources for sharing views, opinions and comments about different topics. Classifying these views, opinions and comments is known as sentiment ...

    • Extending UML use case diagrams to represent non-interactive functional requirements 

      Iqbal, Saqib; Al-azzoni, Issam; Allen, Gary; Khan, Hikmat Ullah (Wroclaw University of Science and Technology, 2020)
      Background: The comprehensive representation of functional requirements is a crucial activity in the analysis phase of the software development life cycle. Representation of a complete set of functional requirements helps ...

    • A Feature-Based Approach for Sentiment QuantificationUsing Machine Learning 

      Ayyub, Kashif; Iqbal, Saqib; Nisar, Muhammad Wasif; Munir, Ehsan Ullah; Alarfaj, Fawaz Khaled; Almusallam, Naif (MDPI, 2022)
      Sentiment analysis has been one of the most active research areas in the past decade due to its vast applications. Sentiment quantification, a new research problem in this field, extends sentiment analysis from individual ...

    • Fighting adult illiteracy with the help of the environmental print material 

      Iqbal, Tassawar; Iqbal, Saqib; Hussain, Syed Sajid; Khan, IftikharAhmed; Khan, Hikmat Ullah; Rehman, Attiqa (Public Library of Science., 2018)
      Adult illiteracy is a major problem worldwide especially in developing countries. Adult Basic Education (ABE) programs working in this context are not very effective due to lack of motivation for the people who are not ...

    • Finding Rotten Eggs: A Review Spam Detection Model using Diverse Feature Sets 

      Akram, Abubakker Usman; Khan, Hikmat Ullah; Iqbal, Saqib; Iqbal, Tassawar; Munir, Ehsan Ullah; Shafi, Muhammad (Korean Society for Internet Information, 2018)
      Social media enables customers to share their views, opinions and experiences as product reviews. These product reviews facilitate customers in buying quality products. Due to the significance of online reviews, fake ...

    • A framework for the regression testing of model-to-model transformations 

      Al-Azzoni, Issam; Iqbal, Saqib (Wroclaw University of Science and Technology, 2021)
      Background: Model transformations play a key role in Model-Driven Engineering (MDE). Testing model transformation is an important activity to ensure the quality and correctness of the generated models. However, during the ...

    • Meta-Heuristics for Solving the Software Component Allocation Problem 

      Al-azzoni, Issam; Iqbal, Saqib (Institute of Electrical and Electronics Engineers Inc., 2020)
      The software component allocation problem is concerned with mapping a set of software components to the computational units available in a heterogeneous computing system while maximizing a certain objective function. This ...

    • Real-time violent action recognition using key frames extraction and deep learning 

      Ahmed, Muzamil; Ramzan, Muhammad; Khan, Hikmat Ullah; Iqbal, Saqib; Khan, Muhammad Attique; Choi, Jung-In; Nam, Yunyoung; Kadry, Seifedine (Tech Science Press, 2021)
      Violence recognition is crucial because of its applications in activities related to security and law enforcement. Existing semi-automated systems have issues such as tedious manual surveillances, which causes human ...

    • Test case prioritization for model transformations 

      Iqbal, Saqib; Al-Azzoni, Issam (King Saud bin Abdulaziz University, 2021)
      The application of model transformations is a critical component in Model-Driven Engineering (MDE). To ensure the correctness of the generated models, these model transformations need to be extensively tested. However, ...

    • Users' Rating Predictions Using Collaborating Filtering Based on Users and Items Similarity Measures 

      Nudrat, Sofia; Khan, Hikmat Ullah; Iqbal, Saqib; Talha, Mian Muhammad; Alarfaj, Fawaz Khaled; Almusallam, Naif (Hindawi Limited, 2022)
      The social media has made the world a global world and we, in addition to, as part of physical society, are now part of the virtual society as well. There has been the generation of a large amount of information over the ...