Exam AI-100 topic 1 question 21 discussion

Should be Logic Apps (Azure has a dedicated Twitter connector) and Cognitive Services to score for sentiment.

both logic apps and stream analytics are here are mechanisms for capturing and routing the data. noe of them are actually doing the analysis, tht is done by the cognitive services. so with request asking for 2 services and least ammount of code, i would say logic apps+cognitive

two services that should be included in the solution to monitor Twitter and meet the given requirements are B. Azure Stream Analytics and D. Azure Cognitive Services.

this was in the AI-100 exam i took today, May 31

Given answer is correct - https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends "Real-time Twitter trend analysis is a great example of an analytics tool because the hashtag subscription model enables you to listen to specific keywords (hashtags) and develop sentiment analysis of the feed."

I think it should be Text Analytics ( cognitive services ) and Logic APP....I was dome tweets analysis but I used the stream analytics and event hub that send the data to the blob storage.....Logic App has its connector already

I feel it is Azure logic apps and cognitive services

https://docs.microsoft.com/en-us/azure/azure-functions/functions-twitter-email use Azure Functions with Logic Apps and Cognitive Services on Azure to run sentiment analysis from Twitter posts. An HTTP trigger function categorizes tweets as green, yellow, or red based on the sentiment score. An email is sent when poor sentiment is detected. steps: Create a Cognitive Services API Resource. Create a function that categorizes tweet sentiment. Create a logic app that connects to Twitter. Add sentiment detection to the logic app. Connect the logic app to the function. Send an email based on the response from the function.

Given Answer is right! https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends

I'd go with Cognitive Services (Text Analytics) and Logic Apps

as the consensus is quite clear and well proven with sources (logicapps and cognitive services), could one of the mods change the correct answers?

https://www.linkedin.com/pulse/7-steps-twitter-sentiment-analysis-using-azure-services-sujit-kadam/ Logic Apps and Cognitive Services

1. Need Cognitive services for Sentiment analysis and LUIS... 2. Need Logic app which will trigger stuffs reg twitter. From my aspect,, below flow helps to understand Twitter -> Bot -> api gateway -> logic app -> cognitiveServices

Logic Apps and Cognitive Services

I think that both methods are work fine. https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-sentiment-analysis It's looks like that Cognitive Services is less customer code.

D & E References: https://mscloud.be/azure/real-time-twitter-sentiment-analysis-with-azure-cognitive-services/ https://medium.com/windows-developer/develop-a-mind-reading-twitter-client-with-azure-cognitive-services-f73f0c937671 https://www.youtube.com/watch?v=LIIDiNGNEio

The answer provided is correct. https://medium.com/@dhruvkinger813/social-media-sentimental-analysis-using-azure-logic-apps-5dc8147c42ee The link provided above shows clearly that we can easily send emails when negative tweet is detected. https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends The above link shows that it is possible to run sentiment analysis on tweets having specific tags easily using stream analytics with few simple SQL queries, no code. https://towardsdatascience.com/using-azure-cognitive-services-for-sentiment-analysis-of-trumps-tweets-part-1-f42d68c7e40a The above link shows that using azure cognitive services requires lot of code for this usecase.