You can create a Facebook data set record to track and analyze the text-based content that is posted on the Facebook social media site. By analyzing users' input, you can gain insight that helps you to structure the data in your application to deliver better services to customers and increase your customer base. For example, by tracking and analyzing posts on the Facebook page of your organization, you can quickly detect and respond to any issues that your customers might have.
Use the Facebook data set to filter Facebook posts according to the keywords that you specify. First, create a Facebook data to connect with the Facebook API. Next, reference the data set from a data flow and use the Text Analyzer rule to analyze the text-based content of Facebook posts.
Prerequisites
Before you create a Facebook data set, register on the Facebook site for developers and create a Facebook application. The application provides the App ID and App secret details that you need to enter in the Facebook data set.
Caution: Do not reference one instance of the Facebook data set in multiple data flows. Stopping one of such data flows, stops the Facebook data set in the other data flows.
Note: The Applies-to class for Facebook data sets must always be Data-Social-Facebook.
Note: To ensure that the Facebook connectors always fetch new Facebook posts, you must provide a valid Facebook Page Token.
Note: When you enter a valid Facebook token, the Facebook page URL field is automatically populated with the address of the Facebook page from which you want to extract data for text analysis. By clicking that URL, you open the corresponding Facebook page.
Note: Configure this information if you want to retrieve either historical posts or posts that were not retrieved as a result of a system failure.
Note: See the Graph API documentation for information about limitations when specifying keywords and authors.