Which of the following is NOT a primary application of NLP?

Prepare for the Azure AI Fundamentals Natural Language Processing and Speech Technologies Test. Enhance your skills with flashcards and multiple choice questions, each with hints and explanations. Get ready for your exam!

Machine learning model training is not primarily classified as an application of natural language processing (NLP). While NLP techniques often utilize machine learning to improve their performance and effectiveness, the training of machine learning models is a broader concept that extends beyond just NLP. It encompasses the development, training, and evaluation of models across various domains, including image recognition, anomaly detection, and more.

In contrast, text analytics, sentiment analysis, and conversational AI are core applications of NLP. Text analytics involves extracting useful information and insights from unstructured text data. Sentiment analysis specifically focuses on determining the emotional tone behind a body of text, which is essential for understanding consumer opinions and feedback. Conversational AI refers to technologies that enable computers to engage in dialogue with humans in a natural way, such as through chatbots or virtual assistants. Each of these applications leverages the capabilities of NLP to interpret, analyze, and generate human language in a meaningful way.

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