Text data refers to any type of data that is represented in textual form, typically consisting of characters, symbols, and whitespace. Text data can include a wide variety of information, such as documents, messages, articles, reports, and more. It may be stored in various formats, including plain text files, rich text formats (RTF), word processing documents (e.g., DOCX), spreadsheets, databases, and more. Text data is commonly used in many applications across different domains, such as natural language processing, information retrieval, data analysis, and communication. Processing and analyzing text data often involve tasks such as text parsing, tokenization, stemming, sentiment analysis, and topic modeling, among others, to extract meaningful insights and information from textual content.