The term "text mining" refers to the process of extracting valuable insights and patterns from unstructured text data. It combines techniques from natural language processing (NLP), machine learning, and statistics to analyze text sources such as documents, emails, and social media posts. By identifying keywords, sentiment, themes, and relationships, text mining helps organizations make informed decisions based on textual information. It is commonly applied in fields such as marketing, customer feedback analysis, and legal research. The goal is to transform unstructured data into actionable knowledge.