Open Source Bootcamp Curitiba - Deep Dive Cognitive Services
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This document provides an overview of Microsoft's Cognitive Services APIs for natural language processing, including APIs for speech recognition, text analysis, entity linking and knowledge exploration. The document encourages attendees to obtain an API key from the Azure portal to start making REST API calls and coding demos using Cognitive Services APIs for tasks like sentiment analysis, spell checking, and language understanding. It concludes by thanking attendees and providing links to further resources.
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Open Source Bootcamp Curitiba - Deep Dive Cognitive Services
- 1. Open Source Bootcamp Deep dive Cognitive Services Douglas Romão Microsoft MVP
- 3. Bing Speech API Speaker Recognition API Custom Recognition Intelligent Service
- 4. Speech Bing Spell Check API Language Understanding Intelligent Service Linguistic Analysis API
- 5. Language Academic Knowledge API Recommendations API Knowledge Exploration Service Entity Linking Service
- 6. • Obtenha uma chave de acesso em portal.azure.com • Faça chamadas REST das APIs Acessando as APIs GET https://westus.api.cognitive.microsoft.com/text/analytics/v2.0/sentiment Ocp-Apim-Subscription-Key – chave de acesso da API
- 8. Start coding
Editor's Notes
- These are some APIs under Speech category of cognitive
- One of the key problems in human-computer interactions is the ability of the computer to understand what a person wants. Language Understanding Intelligent Service (LUIS) enables developers to build smart applications that can understand human language and react accordingly to user requests. LUIS uses the power of machine learning to solve the difficult problem of extracting meaning from natural language input, so that your application doesn't have to. Any client application that converses with users, like a dialog system or a chat bot, can pass user input to a LUIS app and receive results that provide natural language understanding.
- Academic Knowledge API With an Academic Knowledge API, we will be able to interpret the user queries for the academic intent and retrieve the rich information from Microsoft Academic Graph (MAG). MAG knowledge base is a Web-scale heterogeneous entity graph, made of entities that model scholarly activities: field of study, author, institution, paper, venue and event. - One of the basic requirements in writing your own Bot service is to seed it with questions and answers. In many cases, the questions and answers already exist in content like FAQ URLs/documents, etc. Microsoft QnA Maker is a free, easy-to-use, REST API and web-based service that trains AI to respond to user's questions in a more natural, conversational way. Compatible across development platforms, hosting services, and channels, QnA Maker is the only question and answer service with a graphical user interface—meaning you don’t need to be a developer to train, manage, and use it for a wide range of solutions. Microsoft Entity Linking Intelligence Service, a web service created to help developers with tasks relating to entity linking. - The Recommendations API built with Microsoft Azure Machine Learning helps your customer discover items in your catalog. Customer activity in your digital store is used to recommend items and to improve conversion in your digital store.