Have you ever wondered how computers can understand human language? In this episode, we dive into the fascinating world of Azure AI Language, a powerful service within Azure AI that unlocks the secrets hidden in text.
We'll start by breaking down the foundational concepts of Natural Language Processing (NLP), from tokenization and frequency analysis to sophisticated semantic language models. Discover how these techniques work together to extract meaningful insights from vast amounts of text.
Then, we'll explore the specific, real-world capabilities of Azure AI Language, including:
Named Entity Recognition: Spotting crucial information like names, places, and organizations.
Sentiment Analysis: Gauging the emotional tone of text, whether it's positive, negative, or neutral.
Key Phrase Extraction: Identifying the most important concepts and topics.
Summarization: Condensing lengthy documents into concise overviews.
To bring it all to life, we'll walk through a practical example: using Azure AI Language in the Azure AI Foundry portal to analyze customer reviews. Learn how to identify key entities, extract important phrases, and summarize feedback to gain valuable business insights.
Whether you're a developer, a data scientist, or just curious about the power of AI, this episode will demystify how machines can understand and process the language we speak every day.
