Language Modeling is the natural processing language (NLP) technique that enables prediction of the next word or sequence of words in a text, making it ideal for features like text prediction and auto-completion. It learns patterns from large amounts of text data to anticipate user input.
Sentiment analysis identifies the emotional tone of text, key phrase extraction finds important phrases, and entity recognition detects and classifies entities like names and places; none of these are used for predicting text input.
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Natural Language Processing (NLP) Workloads on Azure
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