DIGITIZED DOCUMENT CLASSIFICATION USING MACHINE AND DEEP LEARNING A SURVEY

Authors

  • A. Vijaya Mahendra Varman Department of Computer Science and Engineering, Annamalai University, Annamalainagar-561203, India Author
  • AN Sigappi Department of Computer Science and Engineering, Annamalai University, Annamalainagar-561203, India Author

Keywords:

Data Mining, Natural Language Process, Classifier, Text classification, Machine Learning , Deep Learning

Abstract

The digital transformation has led to a widespread application of artificial intelligence (AI) technology to overcome human-induced errors in a range of systems utilized in our daily lives. The World Wide Web's rapid expansion has made it impossible for humans to classify information, which has sparked the development of methods like data mining, natural language processing, and machine learning for the automatic classification of textual documents. Due to the abundance of information available from many sources, classification jobs have become increasingly important. One important way to handle and process a large number of digital documents is through automated text classification. This essay offers an understanding of the steps involved in text classification as well as different classifiers. Additionally, it seeks to evaluate and contrast different classifiers that are currently accessible based on a few parameters, including performance and time complexity 

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Published

2024-07-22