Challenges and Importance of Data Preprocessing for NLP Solutions

The chapter discusses the challenges data scientists face in extracting structured data from various document formats and the complexities of analyzing large volumes of natural language. It highlights the process of information extraction from documents like equity reports, emphasizing the need for high-quality data preprocessing to enhance model performance, scalability, and data quality in machine learning pipelines.