My AI Lab

(Source: https://learn.microsoft.com/en-us/training/modules/analyze-text-ai-language/10-summary) In this module, you learned how to use Azure AI Language to: To learn more about Azure AI Language and some of the concepts covered in this module, you can explore the following: Trong mô-đun này, bạn đã học cách sử dụng Azure AI Language để: Để tìm hiểu thêm về Azure AI Language […]

(Source: https://learn.microsoft.com/en-us/training/modules/analyze-text-ai-language/9-knowledge-check) 1. How should you create an application that monitors the comments on your company’s web site and flags any negative posts?  A. Use the Azure AI Language service to extract key phrases. B. Use the Azure AI Language service to perform sentiment analysis of the comments. C. Use the Azure AI Language service to extract […]

(Source: https://learn.microsoft.com/en-us/training/modules/analyze-text-ai-language/8-exercise-analyze-text) This unit includes a lab to complete.Use the free resources provided in the lab to complete the exercises in this unit. You will not be charged for the lab environment; however, you may need to bring your own subscription depending on the lab. Microsoft provides this lab experience and related content for educational purposes. […]

(Source: https://learn.microsoft.com/en-us/training/modules/analyze-text-ai-language/7-extract-linked-entities) In some cases, the same name might be applicable to more than one entity. For example, does an instance of the word “Venus” refer to the planet or the goddess from mythology? Entity linking can be used to disambiguate entities of the same name by referencing an article in a knowledge base. Wikipedia provides […]

(Source: https://learn.microsoft.com/en-us/training/modules/analyze-text-ai-language/6-extract-entities) Named Entity Recognition identifies entities that are mentioned in the text. Entities are grouped into categories and subcategories, for example: Nhận diện thực thể được đặt tên (Named Entity Recognition) xác định các thực thể được đề cập trong văn bản. Các thực thể được nhóm vào các danh mục và phân mục, ví […]

(Source: https://learn.microsoft.com/en-us/training/modules/analyze-text-ai-language/5-analyze-sentiment) Sentiment analysis is used to evaluate how positive or negative a text document is, which can be useful in various workloads, such as: + Evaluating a movie, book, or product by quantifying sentiment based on reviews.+ Prioritizing customer service responses to correspondence received through email or social media messaging.When using Azure AI Language to […]

Key phrase extraction is the process of evaluating the text of a document, or documents, and then identifying the main points around the context of the document(s). Key phrase extraction works best for larger documents (the maximum size that can be analyzed is 5,120 characters). As with language detection, the REST interface enables you to […]

(Source: https://learn.microsoft.com/en-us/training/modules/analyze-text-ai-language/3-detect-language) The Azure AI Language detection API evaluates text input and, for each document submitted, returns language identifiers with a score indicating the strength of the analysis. This capability is useful for content stores that collect arbitrary text, where language is unknown. Another scenario could involve a chat bot. If a user starts a session […]

(Source: https://learn.microsoft.com/en-us/training/modules/analyze-text-ai-language/2-provision-resource) Azure AI Language is designed to help you extract information from text. It provides functionality that you can use for: Azure AI Language được thiết kế để giúp bạn trích xuất thông tin từ văn bản. Nó cung cấp các chức năng mà bạn có thể sử dụng cho: Azure resources for text analysis […]

(Source: https://learn.microsoft.com/en-us/training/modules/analyze-text-ai-language/1-introduction) Every day, the world generates a vast quantity of data; much of it text-based in the form of emails, social media posts, online reviews, business documents, and more. Artificial intelligence techniques that apply statistical and semantic models enable you to create applications that extract meaning and insights from this text-based data. The Azure AI […]