Document Chunking refers to the process of dividing large text or documents into smaller, manageable sections, known as chunks. This allows for more efficient processing by algorithms, which can handle smaller data sets more effectively, especially in tasks like natural language processing. This technique is used to enhance the performance of text analysis tasks, such as sentiment analysis or information retrieval, where smaller text units are easier to process and analyze.