Text mining is the process of extracting valuable information and insights from unstructured text data. It involves using techniques from fields like natural language processing and machine learning to analyze large volumes of text, such as articles, social media posts, and customer reviews. The goal is to identify patterns, trends, and relationships within the data. By transforming text into structured data, text mining helps organizations make informed decisions. Applications include sentiment analysis, topic modeling, and information retrieval, which can be beneficial in various sectors like marketing, healthcare, and finance. This technology enables businesses to better understand their customers and improve their services.