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FELFEDEZÉS, CSATLAKOZÁS, NÖVEKEDÉS

Microsoft Reactor

Csatlakozzon a Microsoft Reactorhoz, és vegye fel a kapcsolatot startupokkal és fejlesztőkkel élőben

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#AI102 -Text Analysis with Azure AI Language Service

17 december, 2024 | 11:30 de. - 12:30 du. (UTC) Koordinált egyetemes idő

Formátum:
Livestream

Téma: Alapvető AI

Nyelv: Angol

In this session, we’ll explore the Azure AI Language Service and its capabilities in extracting semantic information from text. Attendees will learn how to implement text analytics features like language detection, sentiment analysis, key phrase extraction, and entity recognition. This session includes practical examples of how to integrate Azure’s language processing APIs in your applications to automate text insights, optimize data processing, and enhance user experiences. Interactive exercises will give participants hands-on experience in setting up and using the Azure AI Language service to improve content understanding and response accuracy.

Learn More- https://aka.ms/Analyzetext

How do you think a Start-up will be benefited from this session?
Start-ups can benefit by automating their text analysis processes with Azure AI Language. Using this service enables start-ups to gain quick, actionable insights from customer feedback, social media data, and support tickets. The session demonstrates how to use language models for data-driven decisions, such as tracking customer sentiment and extracting critical information, helping to streamline operations and improve customer engagement. Attendees will also learn best practices for API integration, enabling faster time-to-market for AI-enhanced solutions that scale with business needs.

The session will focus on:
Understanding Azure AI Language Service: An overview of the text analysis capabilities and use cases in modern applications. Provisioning and Configuring Language Resources: Steps to set up and customize Azure AI Language resources.
Text Analytics Functions: Detecting language, analyzing sentiment, and extracting key phrases and entities.
Hands-on Exercise: Participants will practice implementing these features to analyze text, generating insights in real-time.

What will the attendees or a Start-up learn from the session?
Techniques for implementing language detection, sentiment analysis, and entity recognition in applications.
Practical experience in using Azure AI Language APIs to analyze and categorize text data.
Skills for automating text insights extraction, reducing manual data analysis efforts.
Knowledge of best practices for integrating the Azure AI Language service to optimize AI-driven solutions and improve data understanding in real-world applications.
This session equips developers, AI engineers, and start-ups with tools to transform unstructured text data into structured, actionable insights, enhancing data-driven decision-making and customer engagement.

Speaker BIO- Viswanatha Swamy
He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies.

Social Handle- https://twitter.com/vishipayyallore