Text preprocessing is a crucial step in natural language processing (NLP) and machine learning tasks. It involves converting raw text data into a clean and structured format that can be easily understood by computational models. In the context of nanotechnology, where research papers, patents, and technical documents are abundant, text preprocessing becomes essential for extracting meaningful insights.
