Logic Twitter

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In This Article, we'll Create Logic App on Azure and trigger it to Twitter., So you just need to follow the Following Steps along with me and I hope you'll be able to do the same. First, you need to understand what is azure and it services if you new to Microsoft Azure, so follow this Article: What is Azure

What is Azure Logic Apps

Azure Logic Apps is a cloud administration that encourages you to plan, mechanize, and arrange assignments, business procedures, and work processes when you have to coordinate applications, information, frameworks, and administrations crosswise over ventures or associations. Rationale Apps disentangles how you plan and construct versatile answers for application combination, information coordination, framework joining, undertaking application incorporation (EAI), and business-to-business (B2B) correspondence, regardless of whether in the cloud, on-premises, or both.

  • Facebook Twitter Flipboard uproxx.it. Last week, Logic revealed that No Pressure, which was released today, would be his final album because he is retiring from music. He didn’t give a specific.
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From your Twitter account, tweet the following text: I'm enjoying #my-twitter-tutorial. Return to the Logic Apps Designer and select the Run button. Check your email for a message from the workflow. Clean up resources. To clean up all the Azure services and accounts created during this tutorial, delete the resource group. Playing games and being a dad! Theatre Mode (alt+t) Fullscreen (f). The latest tweets from @ByYourLogic.

For instance, here are only a couple of remaining tasks at hand you can computerize with rationale applications:

Take Me To My Twitter

  • Procedure and course arrange crosswise over on-premises frameworks and cloud administrations.
  • Send email warnings with Office 365 when occasions occur in different frameworks, applications, and administrations.
  • Move transferred records from an SFTP or FTP server to Azure Storage.
  • Screen tweets for a particular subject, investigate the assumption and make cautions or assignments for things that need a survey.

To assemble undertaking joining arrangements with Azure Logic Apps, you can look over a developing display with several prepared to-utilize connectors, which incorporate administrations, for example, Azure Service Bus, Functions, and Storage; SQL, Office 365, Dynamics, Salesforce, BizTalk, SAP, Oracle DB, record offers, and that's only the tip of the iceberg. Connectors give triggers, activities, or both for making rationale applications that safely access and procedure information continuously.

Step 1: Click on the New blade > Enterprise Integration >Logic App.

Step 2: Enter a unique name for your Logic App and check Pin to Dashboard if you want to pin your application to the dashboard and click on Create button and wait for the deployment.

Step 3: Now, Logic App Designer will open up, here you will create a trigger for your app to act on. Click on Twitter.

Step 4: Select the trigger, When a new tweet is placed.

Step 5: Now, on Twitter trigger pan you need to click on Sign in, and then provide your Twitter account credentials and click on Authorize app.

Step 6: Now, Enter the Search Text for which you want a response, then set the Interval to check it and set the Frequency of interval and then Click on New step.

Step 7: Now an action selector will open up, Search for Gmail in the search box and Select Gmail – Send Mail option.

Step 8: Now Sign in into Gmail and allow azure logic app and then Structure the mail you want to send i.e. to whom you want to send and set the content for it, and click on Run.

Step 9: Your Logic app is now running; you can check it by tweeting the Search text on twitter.

Step 10: You will get a mail from each person who tweets the search keyword.

Sumo logic twitter-->

This article teaches you how to build a social media sentiment analysis solution by bringing real-time Twitter events into Azure Event Hubs. You write an Azure Stream Analytics query to analyze the data and store the results for later use or create a Power BI dashboard to provide insights in real-time.

Social media analytics tools help organizations understand trending topics. Trending topics are subjects and attitudes that have a high volume of posts on social media. Sentiment analysis, which is also called opinion mining, uses social media analytics tools to determine attitudes toward a product or idea.

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.

Scenario: Social media sentiment analysis in real time

A company that has a news media website is interested in gaining an advantage over its competitors by featuring site content that is immediately relevant to its readers. The company uses social media analysis on topics that are relevant to readers by doing real-time sentiment analysis of Twitter data.

To identify trending topics in real time on Twitter, the company needs real-time analytics about the tweet volume and sentiment for key topics.

Prerequisites

In this how-to guide, you use a client application that connects to Twitter and looks for tweets that have certain hashtags (which you can set). To run the application and analyze the tweets using Azure Streaming Analytics, you must have the following:

  • If you don't have an Azure subscription, create a free account.

  • A Twitter account.

  • The TwitterClientCore application, which reads the Twitter feed. To get this application, download TwitterClientCore.

  • Install the .NET Core CLI version 2.1.0.

Below is the solution architecture you are going to implement.

Create an event hub for streaming input

The sample application generates events and pushes them to an Azure event hub. Azure Event Hubs are the preferred method of event ingestion for Stream Analytics. For more information, see the Azure Event Hubs documentation.

Create an event hub namespace and event hub

In this section, you create an event hub namespace and add an event hub to that namespace. Event hub namespaces are used to logically group related event bus instances.

  1. Log in to the Azure portal and select Create a resource. Then. search for Event Hubs and select Create.

  2. On the Create Namespace page, enter a namespace name. You can use any name for the namespace, but the name must be valid for a URL, and it must be unique across Azure.

  3. Select a pricing tier and subscription, and create or choose a resource group. Then, choose a location and select Create.

  4. When the namespace has finished deploying, navigate to your resource group and find the event hub namespace in your list of Azure resources.

  5. From the new namespace, select + Event Hub.

  6. Name the new event hub socialtwitter-eh. You can use a different name. If you do, make a note of it, because you need the name later. You don't need to set any other options for the event hub.

  7. Select Create.

Grant access to the event hub

Before a process can send data to an event hub, the event hub needs a policy that allows access. The access policy produces a connection string that includes authorization information.

  1. In the navigation bar on the left side of your event hubs namespace, select Event Hubs, which is located in the Entities section. Then, select the event hub you just created.

  2. In the navigation bar on the left side, select Shared access policies located under Settings.

    Note

    There is a Shared access policies option under for the event hub namespace and for the event hub. Make sure you're working in the context of your event hub, not the overall event hub namespace.

  3. From the access policy page, select + Add. Then enter socialtwitter-access for the Policy name and check the Manage checkbox.

  4. Select Create.

  5. After the policy has been deployed, select the policy from the list of shared access policies.

  6. Find the box labeled Connection string primary-key and select the copy button next to the connection string.

  7. Paste the connection string into a text editor. You need this connection string for the next section after you make some small edits.

The connection string looks like this:

Notice that the connection string contains multiple key-value pairs, separated with semicolons: Endpoint, SharedAccessKeyName, SharedAccessKey, and EntityPath.

Note

For security, parts of the connection string in the example have been removed.

Configure and start the Twitter client application

The client application gets tweet events directly from Twitter. In order to do so, it needs permission to call the Twitter Streaming APIs. To configure that permission, you create an application in Twitter, which generates unique credentials (such as an OAuth token). You can then configure the client application to use these credentials when it makes API calls.

Create a Twitter application

If you do not already have a Twitter application that you can use for this how-to guide, you can create one. You must already have a Twitter account.

Note

The exact process in Twitter for creating an application and getting the keys, secrets, and token might change. If these instructions don't match what you see on the Twitter site, refer to the Twitter developer documentation.

  1. From a web browser, go to Twitter For Developers, create a developer account, and select Create an app. You might see a message saying that you need to apply for a Twitter developer account. Feel free to do so, and after your application has been approved, you should see a confirmation email. It could take several days to be approved for a developer account.

  2. In the Create an application page, provide the details for the new app, and then select Create your Twitter application.

  3. In the application page, select the Keys and Tokens tab and copy the values for Consumer API Key and Consumer API Secret Key. Also, select Create under Access Token and Access Token Secret to generate the access tokens. Copy the values for Access Token and Access Token Secret.

    Save the values that you retrieved for the Twitter application. You need the values later.

Note

The keys and secrets for the Twitter application provide access to your Twitter account. Treat this information as sensitive, the same as you do your Twitter password. For example, don't embed this information in an application that you give to others.

Configure the client application

We've created a client application that connects to Twitter data using Twitter's Streaming APIs to collect tweet events about a specific set of topics.

Before the application runs, it requires certain information from you, like the Twitter keys and the event hub connection string.

  1. Make sure you've downloaded the TwitterClientCore application, as listed in the prerequisites.

  2. Use a text editor to open the App.config file. Make the following changes to the <appSettings> element:

    • Set oauth_consumer_key to the Twitter Consumer Key (API key).
    • Set oauth_consumer_secret to the Twitter Consumer Secret (API secret key).
    • Set oauth_token to the Twitter Access token.
    • Set oauth_token_secret to the Twitter Access token secret.
    • Set EventHubNameConnectionString to the connection string.
    • Set EventHubName to the event hub name (that is the value of the entity path).

  3. Open the command line and navigate to the directory where your TwitterClientCore app is located. Use the command dotnet build to build the project. Then use the command dotnet run to run the app. The app sends Tweets to your Event Hub.

Create a Stream Analytics job

Now that tweet events are streaming in real time from Twitter, you can set up a Stream Analytics job to analyze these events in real time.

  1. In the Azure portal, navigate to your resource group and select + Add. Then search for Stream Analytics job and select Create.

  2. Name the job socialtwitter-sa-job and specify a subscription, resource group, and location.

    It's a good idea to place the job and the event hub in the same region for best performance and so that you don't pay to transfer data between regions.

  3. Select Create. Then navigate to your job when the deployment is finished.

Specify the job input

  1. In your Stream Analytics job, select Inputs from the left menu under Job Topology.

  2. Select + Add stream input > Event Hub. Fill out the New input form with the following information:

    SettingSuggested valueDescription
    Input aliasTwitterStreamEnter an alias for the input.
    Subscription<Your subscription>Select the Azure subscription that you want to use.
    Event Hub namespaceasa-twitter-eventhub
    Event Hub namesocialtwitter-ehChoose Use existing. Then select the Event Hub you created.
    Event compression typeGZipThe data compression type.

    Leave the remaining default values and select Save.

Twitter Logic App

Specify the job query

Stream Analytics supports a simple, declarative query model that describes transformations. To learn more about the language, see the Azure Stream Analytics Query Language Reference. This how-to guide helps you author and test several queries over Twitter data.

To compare the number of mentions among topics, you can use a Tumbling window to get the count of mentions by topic every five seconds.

  1. In your job Overview, select Edit query near the top right of the Query box. Azure lists the inputs and outputs that are configured for the job and lets you create a query to transform the input stream as it is sent to the output.

  2. Change the query in the query editor to the following:

  3. Event data from the messages should appear in the Input preview window below your query. Ensure the View is set to JSON. If you do not see any data, ensure that your data generator is sending events to your event hub, and that you've selected GZip as the compression type for the input.

  4. Select Test query and notice the results in the Test results window below your query.

  5. Change the query in the code editor to the following and select Test query:

  6. This query returns all tweets that include the keyword Azure.

Create an output sink

You have now defined an event stream, an event hub input to ingest events, and a query to perform a transformation over the stream. The last step is to define an output sink for the job.

In this how-to guide, you write the aggregated tweet events from the job query to Azure Blob storage. You can also push your results to Azure SQL Database, Azure Table storage, Event Hubs, or Power BI, depending on your application needs.

Specify the job output

  1. Under the Job Topology section on the left navigation menu, select Outputs.

  2. In the Outputs page, click + Add and Blob storage/Data Lake Storage Gen2:

    • Output alias: Use the name TwitterStream-Output.
    • Import options: Select Select storage from your subscriptions.
    • Storage account. Select your storage account.
    • Container. Select Create new and enter socialtwitter.

  3. Select Save.

Start the job

A job input, query, and output are specified. You are ready to start the Stream Analytics job.

  1. Make sure the TwitterClientCore application is running.

  2. In the job overview, select Start.

  3. On the Start job page, for Job output start time, select Now and then select Start.

Get support

For further assistance, try our Microsoft Q&A question page for Azure Stream Analytics.

Next steps