Text processing refers to the manipulation and analysis of text data using various techniques and tools. It involves tasks such as reading, editing, formatting, and extracting information from text files. Common applications include spell checking, text summarization, and data extraction from documents. In the field of natural language processing (NLP), text processing plays a crucial role in enabling computers to understand and interpret human language. Techniques like tokenization, stemming, and sentiment analysis help in breaking down text into manageable parts, making it easier to analyze and derive insights from large volumes of textual data.