Enhancing Text Classification with Machine Learning in Big Data Systems

Abstract

Text classification plays a critical role in processing and organizing vast amounts of unstructured data. As the volume of data grows, traditional methods struggle to maintain efficiency and accuracy. Machine learning (ML) techniques, particularly deep learning, have become essential for enhancing text classification in big data systems. This paper explores the integration of ML algorithms with big data platforms to improve text classification processes. We analyze the effectiveness of different ML models, including supervised and unsupervised learning, in the context of big data. The research highlights the challenges and solutions in implementing these models in distributed systems and provides a framework for future advancements.