Natural Language Processing and Deep Learning Approaches for Multiclass Document Classifier

Authors

  • Shruti A. Gadewar  ME Aspirant, Department of Computer Science and Engineering, Babasaheb Naik College of Engineering, Pusad, Maharashtra, India
  • Prof. P. H. Pawar  Associate Professor, Department of Computer Science and Engineering, Babasaheb Naik College of Engineering, Pusad, Maharashtra, India

DOI:

https://doi.org/10.32628/IJSRSET2411143

Keywords:

Classification, Natural Language Processing, Deep Learning

Abstract

With the recent growth of the internet, the volume of data has also increased. A large section of the internet is full of documents, which may contain data, big data, formatted and unformatted data, structured data, and unstructured data. The increase in the amount of this unstructured data results in making it difficult to manage data. As it is difficult to classify the increasing volume of data for various purposes manually, automated classification is required. This paper overviews different approaches to Natural Language Processing and Deep Learning for content-based classification.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2024-02-29

Issue

Volume 11, Issue 1, January-February-2024

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Shruti A. Gadewar, Prof. P. H. Pawar "Natural Language Processing and Deep Learning Approaches for Multiclass Document Classifier" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 11, Issue 1, pp.278-283, January-February-2024. Available at doi : https://doi.org/10.32628/IJSRSET2411143