It involves data cleaning, data transformation, and data reduction. Every textual data may not be ready
Data preprocessing is a data mining technique that involves transforming raw data into an understandable and useful format. Real-world data is often incomplete, inconsistent, and/or lacking in certain behaviors or trends, and is likely to contain many errors. Data preprocessing is a proven method of resolving such issues. It involves data cleaning, data transformation, and data reduction.