How to use and enable sentiment analysis in azure bot framework,
i want to implement sentimental analysis using azure bot framework.
As Md Farid Uddin Kiron said, you can use
azure sentiment analysis endpoint API
same can be implemented by referring https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/sentiment-opinion-mining/quickstart?pivots=programming-language-csharp#setting-up
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I’m new to using Azure Cognitive Services (and programming in general).
The Azure Text to Speech service is provided through two interfaces: the Speech SDK and the REST API. I was wondering when one should choose to use the SDK or REST API? What are the advantages of the SDK over the API, and vice versa?
The documentation of the Azure Speech SDK is quite vague on this. It says:
In some cases, you can't or shouldn't use the Speech SDK. In those cases, you can use REST APIs to access the Speech service. For example, use the Speech-to-text REST API v3.0 for batch transcription and custom speech.
For context, I’m looking to implement an text-to-speech application that takes a JSON of conversation strings, synthesizes each string to a speech file and saves it to cloud storage. So far I've been using the Speech SDK locally and have managed to save speech files to local storage, but I need to do this in the cloud.
Let me know if I should provide more details and thanks in advance for any insight!
I would like to connect the Document Service from Java (Spring Boot application deployed in SAP BTP Cloud Foundry environment with multitenancy) and I am wondering about the intended way to connect the document service in a multitenant szenario.
Does SAP cloud sdk helps with connectivity?
If we're talking about consuming the service on the SAP Business Technology platform - then yes. Check the multi-tenancy docs.
The SAP Cloud SDK is a framework for consuming services and usually not the best choice for publishing them. You can use it as a proxy or data adapter, of course, if that's what you need.
For service publishing with multi-tenancy, I'd recommend looking into the direction of the Cloud Application Programming model (CAP)
Are you building OData, OpenAPI or generic REST enabled service? The SAP Cloud SDK can help to consume your service with multi-tenancy out of the box using our OData or OpenAPI code generators and type-safe clients. You can also use the SDK for testing. Please, check the details in our docs.
I'd also recommend checking if the service you're building already exists or you can adapt some other service with help of the SDK.
I am trying to integrate MS Dynamics Customer Insights (CI) with the model I have built within the new Azure Machine Learning (designer). Currently, I see there is only an integration between CI and Azure Machine Learning studio (classic).
I have deployed my model behind a web service (REST) within new Azure Machine Learning however it is not getting picked up in CI. However, I am able to score/generate predictions from the API using a Python script.
Please recommend a way to integrate these two MS services or suggest an architecture where CI can pick up the results.
Here are some hands-on labs which walk through the complete lifecycle for integrating Dynamics 365 Customer Insights with Azure data services. One scenario seen in Lab 5 is integrating the results of an Azure Machine Learning model back into Customer Insights. That walkthrough should give you one good way of accomplishing that task.
I totally agree that there's a real opportunity for a more seamless integration between Azure ML and D365 (including CI). For me, I'm thinking about how cool would it be to have an ML Dataset be automatically created with D365 data that could be used in the ML designer. After which the winning model could be registered, then made available inside D365 as a field that would score things in real time.
If you an "idea" on the forum below. My team and I will upvote it!
https://experience.dynamics.com/ideas/
I am very new to bot framework and was wonder if anyone has integrated models generated by ML.Net with Microsoft Bot framework.
Any pointers to any type of documentation will be great.
Thanks
You may refer to the blog
INTEGRATE CUSTOM MACHINE LEARNING MODELS TO YOUR BOT USING ML.NET
https://www.arafattehsin.com/machine-learning-models-to-botframework/
other than that you can refer to .Net Conf 2019 session - How To Integrate ML NET with a Chat Bot
and here with the sample Source Code that I had Created.
I would suggest separating the ML.Net logic into a separate API or Azure function, and call that from your bot.
There are examples of how to create those APIs in the ML.Net samples repo here https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/end-to-end-apps
If you do really want to include the model and ML.net in your bot code, remember that the bot framework template is essentially a dotnet core API. So you could adapt the ML.net samples to run in your bot application.
Is there a possible way to integrate the speech services with bot? So i would like to know what is the process that goes in the integration of Speech Services with Bot?
How is it possible to do the integration with bot through the key that is obtained from the Azure Speech Service created?
And how to check whether the created Speech Services is working?
Is there any common portal for the Speech Services to be tested like the portal for custom speech(https://westus.cris.ai/Home/CustomSpeech)?
And What are the different ways for integrating?
To test the speech service whether works, you can use the code sample provided by Microsoft without write addition code. Refer to the Next steps section of Text to Speech
Or you can make the REST API using POST man according the documentation.
And to integrate the Speech Service with Bot, you can refer the figure below: