Language Modeling - This is the correct answer. Language modeling is primarily used for tasks like predicting the next word or suggesting phrases as a user types. It helps the application understand the context and structure of language to provide relevant suggestions in real-time.
Key Phrase Extraction - Key phrase extraction is used to identify important terms or concepts within a text, but it is not typically used for real-time suggestions or completing sentences as a user types.
Sentiment Analysis - Sentiment analysis is used to determine the emotional tone of text such as positive, negative or neutral. But it is not relevant for generating word or phrase suggestions while typing.
Entity Recognition - Entity recognition identifies and extracts specific entities like names, places or dates from text. It is not focused on generating suggestions for completing sentences or phrases.
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Natural Language Processing (NLP) Workloads on Azure
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