Language Modeling is used to predict the probability of a sequence of words and can suggest the next word in a sentence based on the context, making it ideal for features like autocomplete and predictive text.
Entity recognition identifies and classifies entities within text, sentiment analysis determines the sentiment conveyed in text, and key phrase extraction identifies important phrases in text; none of these techniques are designed for predicting the next word.
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Natural Language Processing (NLP) Workloads on Azure
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