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    ARTICLE

    Automated File Labeling for Heterogeneous Files Organization Using Machine Learning

    Sagheer Abbas1, Syed Ali Raza1,2, M. A. Khan3, Muhammad Adnan Khan4,*, Atta-ur-Rahman5, Kiran Sultan6, Amir Mosavi7,8,9

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3263-3278, 2023, DOI:10.32604/cmc.2023.032864 - 31 October 2022

    Abstract File labeling techniques have a long history in analyzing the anthological trends in computational linguistics. The situation becomes worse in the case of files downloaded into systems from the Internet. Currently, most users either have to change file names manually or leave a meaningless name of the files, which increases the time to search required files and results in redundancy and duplications of user files. Currently, no significant work is done on automated file labeling during the organization of heterogeneous user files. A few attempts have been made in topic modeling. However, one major drawback More >

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