Text Data Mining is the process of extracting useful information and patterns from large volumes of unstructured text data. This technique uses various methods from natural language processing and machine learning to analyze text, helping organizations make informed decisions based on insights derived from customer feedback, social media, and other textual sources. By identifying trends, sentiments, and relationships within the text, Text Data Mining can enhance business strategies and improve customer experiences. It is widely used in fields such as marketing, healthcare, and finance to uncover valuable information that may not be immediately apparent through traditional data analysis methods.