From the course: Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure
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Overview of natural language processing
From the course: Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure
Overview of natural language processing
- [Instructor] Natural language processing, NLP, is a subfield of artificial intelligence that enables computers to understand, interpret, and generate human language, whether spoken or written. NLP has two main components. Natural language understanding or NLU focuses on understanding the meaning of text. Natural language generation, NLG, involves generating text. Some of the most popular NLP tasks include sentiment analysis, which the text, emotional tone of text, such as whether a customer review is positive, negative, or neutral. It's widely used in analyzing customer feedback. Toxicity classification is a type of sentiment analysis that identifies harmful or hateful content. It's key for moderating social media, gaming platforms, and workplace communication tools. Machine translation automatically translates text between languages, helping with tasks like translating documents, movies, or websites. Named entity recognition or NER extracts information such as names, organizations,…
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Contents
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Overview of natural language processing2m 24s
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Introduction to Azure AI Language3m 40s
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Introduction to Azure AI Translator2m 7s
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Understanding speech recognition and synthesis1m 38s
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Introduction to Azure AI Speech3m 20s
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Practical application of natural language processing in business2m 52s
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Creating an Azure AI Language and Azure AI Speech resource2m 1s
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Azure AI Language demo3m 31s
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Azure AI Speech demo4m 6s
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