NATURAL LANGUAGE PROCESSING WITH MACHINE LEARNING FOR DATA CLASSIFICATION

Abstract

Natural Language Processing (NLP) has become a cornerstone of modern data analysis, enabling machines to interpret and analyze human language. Combined with machine learning (ML), NLP techniques have revolutionized data classification tasks, such as sentiment analysis, spam detection, and topic modeling. This paper explores the fundamental concepts of NLP and ML, delves into their interplay in data classification, discusses notable models and algorithms, and highlights their applications and challenges.