marcofolio.net - Archives (septembre 2017)

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Le: 13 09 2017 à 13:35 Auteur: Marco

One of the things you can do with the Text Analytics API, is the ability to recognise sentiment. This simply means that this API is able to detect if a piece of text has a positive or a negative feeling. Since our bot mainly gets it’s input from text, we can use the Text API to validate if the user is happy or not. Just like with the other Cognitive Services, it’s really simple to tap into this form of AI! The goal We’ll expand on our mfRestaurantBot and check if the user is satisfied about the food. I’ve added an Intent to LUIS that asks the user to rate it by asking what they thought. Based on their sentiment, we’ll determine if the user is happy or not. When we have that information, we can take further actions or not. Requirements To achieve our goal, we’ll need to get a couple of things first: Once again, I’ll be using Visual Studio as my IDE. The Bot Framework project that we’ll be running in Azure. I’ll be using the one from my previous article. A Microsoft Azure account. We’ll also need the Text API Client Library added to the project

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Le: 05 09 2017 à 19:44 Auteur: Marco

Since we’re now able to request user input using Prompt Dialogs in Bot Framework, we can take it another step further. At this stage, we’ve only added LUIS as a form of Artificial Intelligence to the bot, but we’ll tap into more power by adding another one of the Cognitive Services. Just like with the mobile app, we’ll add Image Recognition to the bot using Computer Vision. The goal The goal for this demo would be that the user would use the bot to order food by simply sending in pictures of the food he/she would love to have instead of ordering it with words. The Computer Vision would recognize these pictures and would place the order. In this demo we’ll be using a picture of a hotdog and a pizza. Requirements In order to get everything up and running, we’re going to need the following: Once again, I’ll be using Visual Studio as my IDE. The Bot Framework project that we’ll be running in Azure. I’ll be using the one from my previous article. A Microsoft Azure account. We’ll also need the Vision API Client Library added to the project to call the Microsoft Cognitive Service. It still has

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