AI102 - Building Custom Named Entity Recognition Models with Azure AI Language

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This session will cover the process of building custom named entity recognition (NER) models using Azure AI Language. Attendees will learn how to define and tag custom entities, train models to extract these entities from unstructured text, and evaluate model performance. Practical exercises will provide hands-on experience with the Azure AI Language platform.\n\nHow do you think a Start-up will be benefited from this session?\nStart-ups can leverage custom NER for a variety of use cases:\nAutomating data extraction from documents: Extract key information like product names, dates, locations, and contract details from invoices, contracts, and other documents.\nImproving customer support: Identify specific product mentions or issue types in customer feedback to route inquiries to the appropriate team.\nEnhancing search functionality: Index documents based on extracted entities to provide more relevant search results.\nAnalyzing social media: Extract brand mentions, product names, and other relevant information from social media posts.\nBy automating these processes, start-ups can save time and resources, gain valuable insights from their data, and improve operational efficiency.\n\nRead More - https://aka.ms/Entity-Recognition\n\nThe session will focus on:\nUnderstanding custom named entity recognition: What custom NER is, and when to use it.\nTagging entities in extraction projects: Best practices for defining and annotating custom entities in text data.\nUnderstanding how to build entity recognition projects: Project setup, data preparation, and model training in Azure AI Language.\nTraining and evaluating your model: The training process, model evaluation metrics (precision, recall, F1-score), and strategies for improving model performance.\nPractical Examples and Hands-on Exercise: Attendees will work on a practical scenario, such as extracting information from product descriptions or legal documents.\n\nSpeaker BIO- Viswanatha Swamy\nHe 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.\n\nSocial Handle- https://twitter.com/vishipayyallore\n\nPre-requisites:\nAI-900\nSome experience in AI\nWilling to learn AI

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