Natural language processing is widely used today in customer support, automation, and content analysis. However, its effectiveness depends heavily on data quality and proper tuning. In many real-world cases, NLP is combined with other technologies to improve results. For example, solutions like
Data Science UA OCR allow businesses to extract and process text from images or documents, expanding the range of tasks that can be automated and analyzed efficiently.