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Machine Learning Methods for Content - Classification and Categorization

Author

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  • Prabhat Kubal
  • Surabhi Thorat
  • Swati Maurya

Abstract

These days online gatherings and web-based media stages have furnished people with the necessary resources to advance their contemplations and put themselves out there free paying little heed to the kind of language used to communicate those thoughts, in certain examples these internet based remarks contain express language which might hurt the peruser. We likewise evaluate the class irregularity issues related with the dataset by utilizing inspecting procedures and misfortune. Models we applied yield high in general exactness with moderately minimal expense. To diminish the adverse consequence of poisonous remark in everyday life we have endeavored to plan a Toxic Language detector.

Suggested Citation

  • Prabhat Kubal & Surabhi Thorat & Swati Maurya, 2021. "Machine Learning Methods for Content - Classification and Categorization," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 7(6), pages 184-189, December.
    • Handle: RePEc:jbh:ijsrcs:v7:y2021:i6:id:hcseit217648
    DOI: 10.32628/CSEIT217648
    Note: Article URL: https://ijsrcseit.com/CSEIT217648
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