Text Processing

Text Processing is the foundational technology: it transforms raw, unstructured human language into a clean, structured format for computational analysis.

This is the essential first step in Natural Language Processing (NLP). Text Processing takes massive, messy datasets (emails, social media feeds, documents) and systematically cleans them: tokenization, stemming, lemmatization, and stop-word removal are standard operations. The goal is data normalization, making text machine-readable for downstream tasks. This structured output directly enables high-value applications: think automated sentiment analysis, entity recognition (NER), and efficient document routing, turning terabytes of raw text into actionable business intelligence.

https://www.ibm.com/topics/natural-language-processing