A Survey on Digital Text Content Classification Features and Techniques

Seema Pal; Professor Sumit Sharma

A Survey on Digital Text Content Classification Features and Techniques

Author : Seema Pal, Professor Sumit Sharma Journa Name: International Journal of Science, Engineering and Technology Country : India Volume: 12 issue: 3 Year: 2024 Views : 381

Abstract:

There has been a dramatic increase in the volume of documents and texts in recent years. This needs a more refined machine learning techniques for their proper classification in a wide variety of contexts. In the field of natural language processing, many machine learning techniques have performed better than human experts. To be effective, these learning algorithms need to be able to comprehend not only simple models, but also non-linear connections hidden within the data. This study provides an in-depth analysis of the various document categorization methods currently available, allowing for the precise identification of document classes. The importance of preprocessing in text mining for feature creation was also highlighted. The paper contains extensive background research. Concerns unique to the field were also addressed.