Which of the following is NOT a function of natural language processing?

Natural language processing (NLP) encompasses a broad range of functions that allow computers to understand and interpret human language. One of the key aspects of NLP is its focus on the nuances of language, making it particularly suited for tasks like sentiment analysis, stemming, and named entity recognition.

Sentiment analysis involves examining text to determine the emotional tone behind it, helping businesses understand customer feedback. Stemming refers to the process of reducing words to their root form, which assists in standardizing language for better analysis. Named entity recognition identifies and classifies key information in text, such as names of people, organizations, dates, and locations.

In contrast, quantitative data analysis typically involves the examination of numerical data rather than linguistic data. This analysis focuses on metrics and statistical methods, which fall outside the scope of NLP and its associated techniques. Given this, it's clear that quantitative data analysis does not align with the core functions of natural language processing.