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    ARTICLE

    Latent Semantic Based Fuzzy Kernel Support Vector Machine for Automatic Content Summarization

    T. Vetriselvi1,*, J. Albert Mayan2, K. V. Priyadharshini3, K. Sathyamoorthy4, S. Venkata Lakshmi5, P. Vishnu Raja6

    Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1537-1551, 2022, DOI:10.32604/iasc.2022.025235

    Abstract Recently, the bounteous amount of data/information has been available on the Internet which makes it very complicated to the customers to calculate the preferred data. Because the huge amount of data in a system is mandated to discover the most proper data from the corpus. Content summarization selects and extracts the related sentence depends upon the calculation of the score and rank of the corpus. Automatic content summarization technique translates from the higher corpus into smaller concise description. This chooses the very important level of the texts and implements the complete statistics summary. This paper proposes the novel technique that… More >

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