Eurasian Journal of Mathematical Theory and Computer Sciences

Abstract

This article examines the main methods of text data processing: lemmatization, tokenization, and stemming.These methods are used to normalize and prepare text for analysis and machine learning.The algorithms and approaches for implementing each method are described, and their advantages and disadvantages are analyzed.The research results guide the selection of an appropriate method based on the task and the characteristics of the text being processed.

Identifiers

DOI

10.37547/ejmtcs

Citations and references