Abstract

The study focuses exclusively on the analysis of new text classification methods in this publication. The objective of text classification is to automatically categorise a set of papers from a preset list into categories. The research is based on a combination of data collection and data mining models. The main characteristics of the technologies concerned are outlined in this research. This research uses three algorithms for the classification of papers into distinct categories, which are trained on two independent datasets. Regarding the above classification algorithms, due to their simplicity, Nave Bayes is likely to serve as a text classification model.