Conventional text analysis analyzes text using statistical techniques or rule-based systems, frequently concentrating on surface-level characteristics and keywords. By understanding the context, meaning, and intent underlying the phrase, NLP goes one step further. Through sophisticated machine learning methods like deep learning, it can "learn" from enormous volumes of textual data and manage the subtleties and complexity people encounter.
Consider NLP as an advanced form of language analysis, able to do more than just count words; it can also determine the meaning behind each word and how it fits into a sentence or dialogue.