Text mining, also known as text data mining, refers to the process of deriving meaningful information from natural language text. This involves transforming unstructured text data into a structured format to identify patterns and trends. In the context of catalysis, text mining can be particularly useful for extracting valuable insights from scientific literature, patents, and other textual data sources.
