Description: Textual data refers to information represented in text format, which can range from simple words and phrases to complete documents. This type of data is fundamental in the fields of computing and communication, as it allows for the representation and exchange of information in a way that is understandable to both humans and machines. Textual data is versatile and can be analyzed, processed, and stored in various applications, including databases and content management systems. Its structure can vary, encompassing everything from plain text to more complex formats like HTML or XML. The ability of systems to handle textual data has evolved significantly, driven by advancements in technologies such as natural language processing (NLP) and artificial intelligence (AI), which enable machines to interpret and generate text more effectively. Today, textual data is essential in various applications, including chatbots, search engines, and large language models, facilitating interaction between humans and machines in a more natural and efficient manner.
