C. Classify email messages as work-related or personal.
Explanation:
Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. Here are the reasons why each option is appropriate or not:
A. Analyze video content: This is not correct because analyzing video content typically involves computer vision techniques, not NLP.
B. Generate speech: While generating speech can be related to NLP (e.g., text-to-speech systems), it is more directly associated with speech synthesis and not purely NLP.
C. Classify email messages as work-related or personal: This is correct. NLP can be used to analyze the text content of emails and classify them based on their context, making it an appropriate example of an NLP application.
D. Classify images: This is not correct because classifying images typically involves image processing and computer vision techniques, not NLP.
https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/overview
I think B is also a correct answer, check the Microsoft AI fundamental self-learning web site
Recognize and synthesize speech with Azure AI Speech (https://learn.microsoft.com/en-us/training/modules/recognize-synthesize-speech/)
this section is under Explore natural language processing training module (https://learn.microsoft.com/en-us/training/paths/explore-natural-language-processing/)
Natural language processing (NLP) involves the use of algorithms and techniques to understand and analyze human language. It enables computers to process and interpret text or speech data. In the given options, classifying email messages as work-related or personal is a task that falls under the domain of NLP. NLP techniques can be used to extract relevant information from text data and categorize it based on different criteria, such as topic, sentiment, intent, or in this case, distinguishing between work-related and personal emails. (chatGPT)
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