This chapter explores key techniques used in sensory and consumer science to convert raw text data into structured formats. It covers manual, semi-automated, and automated methods, highlighting how these approaches can be used in combination to enhance data preparation. While the focus remains on preprocessing rather than on advanced statistical analysis, the chapter offers a practical foundation for working with text data in sensory and consumer science. Readers will gain a clear understanding of how to apply both content analysis and Natural Language Processing (NLP) methods within the field. The chapter concludes by examining future directions in text preprocessing, especially in the context of emerging artificial intelligence technologies.