Description: Unstructured text refers to any type of written information that does not follow a specific format or structure, making it a challenge for automated analysis. Unlike structured text, which is organized into tables or databases with defined fields, unstructured text can include emails, social media posts, articles, PDF documents, and more. This type of text lacks tags or metadata that facilitate its interpretation, complicating its processing and analysis. In the field of natural language processing (NLP), unstructured text is fundamental, as it represents a significant portion of the information available in the digital world. The main characteristics of this type of text include its variability in terms of style, tone, and content, as well as its semantic richness, which can provide valuable information if processed properly. The relevance of unstructured text lies in its ability to contain meaningful data that, through NLP techniques, can be extracted, analyzed, and used for various applications, ranging from data mining to artificial intelligence.
