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Browsing Articles by Author "Rahman, Shadikur"

Browsing Articles by Author "Rahman, Shadikur"

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  • Assessing the Effectiveness of Topic Modeling Algorithms in Discovering Generic Label with Description 
    Rahman, Shadikur; Hossain, Syeda Sumbul; Arman, Md. Shohel; Rawshan, Lamisha; Toma, Tapushe Rabaya; Rafiq, Fatama Binta; Md. Badruzzaman, Khalid Been (Springer, 2020-02-13)
    Analyzing short text or documents using topic modeling becomes a popular solutions for the increasing number of documents produced in everyday life. For handling the large amount of documents, many topic modeling algorithms ...
  • Context-based News Headlines Analysis Using Machine Learning Approach 
    Rahman, Shadikur; Hossain, Syeda Sumbul; Islam, Saiful; Chowdhury, Mazharul Islam; Rafiq, Fatama Binta; Badruzzaman, Khalid Been Md. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2019-08-09)
    An increasing number of people are changing their way of thinking by reading news headlines. The interactivity and sincerity present in online news headlines are becoming influential to society. Apart from that, news ...
  • Customer Feedback Prioritization Technique 
    Hossain, Syeda Sumbul; Jubayer, S. A. M.; Rahman, Shadikur; Bhuiyan, Touhid; Rawshan, Lamisha; Islam, Saiful (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2019-06-29)
    Nowadays, a startup is being very popular and entrepreneurs are increasing day by day. Though we are watching many successful startups e.g. Dropbox, Amazon, Viber and so on, the list of unsuccessful startups is very long. ...
  • An Optimized CNN Model Architecture for Detecting Coronavirus (COVID-19) with X-Ray Images 
    Basalamah, Anas; Rahman, Shadikur (Springer, 2022-04-15)
    This paper demonstrates empirical research on using convolutional neural networks (CNN) of deep learning techniques to classify X-rays of COVID-19 patients versus normal patients by feature extraction. Feature extraction ...
  • Polynomial Topic Distribution with Topic Modeling for Generic Labeling 
    Hossain, Syeda Sumbul; Ul-Hassan, Md. Rezwan; Rahman, Shadikur (Communications in Computer and Information Science, Springer, 2019-07-19)
    Topics generated by topic models are typically reproduced as a list of words. To decrease the cognitional overhead of understanding these topics for end-users, we have proposed labeling topics with a noun phrase that ...

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