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Browsing by Subject "Text mining"

Browsing by Subject "Text mining"

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  • Chao, Kang; Sarker, Md Nazirul Islam; Ali, Isahaque; Firdaus, R B Radin; Azman, Azlinda; Shaed, Maslina Mohammed (Elsevier, 2023-08-31)
    The use of healthcare data analytics is anticipated to play a significant role in future public health policy formulation. Therefore, this study examines how big data analytics (BDA) may be methodically incorporated into ...
  • Hossain, Syeda Sumbul; Arafat, Yeasir; Hossain, Md. Ekram (Vietnam Journal of Computer Science, 2021)
    Online news blogs and websites are becoming influential to any society as they accumulate the world in one place. Aside from that, online news blogs and websites have efficient strategies in grabbing readers’ attention by ...
  • 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 ...
  • kar, Shuvasish (Daffodil International University, 23-07-25)
    The JI Watch Management System is an advanced technology solution designed to revolutionize the way organizations monitor and manage their operations. Leveraging the power of artificial intelligence and data analytics, ...
  • 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 ...
  • Bhuiyan, Touhid; Xu, Yue; Josang, Audun (Proceedings of the 9th Asia-Pacific Complex Systems Conference, 2009)
    Dealing with the ever-growing information overload in the Internet, Recommender Systems are widely used online to suggest potential customers item they may like or find useful. Collaborative Filtering is the most popular ...

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