Natural Language Processing and Machine Learning in Text Mining Applications

Abstract

Text mining applications have revolutionized the way we process and analyze vast amounts of textual data. By combining natural language processing (NLP) techniques with machine learning (ML), we can efficiently extract meaningful insights, detect patterns, and automate decision-making processes across various domains. This article explores the integration of NLP and ML in text mining, discussing their applications in fields such as healthcare, business intelligence, social media analysis, and more. We highlight key challenges, techniques, and future directions for the continued advancement of these technologies.