Text Categorization using Clustering and Classification Machine Learning Algorithms via NLP

  • Unique Paper ID: 148398
  • PageNo: 874-877
  • Abstract:
  • In a world that routinely conveys dynamically literary data. It is fundamental errand to managing that printed data. There are various substance examination systems are open to directing and envisioning that data, anyway various strategies may give less exactness because of the vulnerability of common language. To give the fine-grained examination, in this paper present efficient AI calculations for order content data. To upgrade the accuracy, in proposed system I familiar NLTK python library with perform common language preparing. The rule purpose of proposed system is to whole up the model for continuous application by using efficient content classification just as clustering calculations and find the exactness of model using execution measure.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{148398,
        author = {Miss. Kiran Patil and Prof. Nilesh Kurhade},
        title = {Text Categorization using Clustering and Classification Machine Learning Algorithms via NLP},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {6},
        number = {1},
        pages = {874-877},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=148398},
        abstract = {In a world that routinely conveys dynamically literary data. It is fundamental errand to managing that printed data. There are various substance examination systems are open to directing and envisioning that data, anyway various strategies may give less exactness because of the vulnerability of common language. To give the fine-grained examination, in this paper present efficient AI calculations for order content data. To upgrade the accuracy, in proposed system I familiar NLTK python library with perform common language preparing. The rule purpose of proposed system is to whole up the model for continuous application by using efficient content classification just as clustering calculations and find the exactness of model using execution measure.},
        keywords = {Text analytics, TF-IDF, Text classification, Text categorization},
        month = {},
        }

Cite This Article

Patil, M. K., & Kurhade, P. N. (). Text Categorization using Clustering and Classification Machine Learning Algorithms via NLP. International Journal of Innovative Research in Technology (IJIRT), 6(1), 874–877.

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