1/31/2024 0 Comments Einstein platform![]() The Einstein Sentiment is very much helpful in analyzing the customers feelings or emotions which therefore benefits the companies to focus on the unsatisfied customers and resolve their issues with a higher attention so that they can maintain the customer relationship in future. Your request is in Progress.Please wait.ĭoInit : function(component, event, helper) The Code for this implementation follows: Find the sample screenshot of the sentiment analysis as below. Step 6: Create a Lightning Component ‘ getSentiments’ and calling it with Quick Action ‘ getCustomerSentiments’ button, it will send the text in the ‘Description’ field to Einstein API Analysis and return the sentiment & its probability which we are capturing using two new fields. Step 5: By referring to the below screenshot, create a Custom Setting to store the Endpoints. Step 4: From the Git Repo replicate the (JWT.cls and JWTBearer.cls) Apex Classes –. Step 3: We must add the API endpoint as a remote site so create a Remote Site Setting by following the link. ![]() Step 2: Follow this link and Upload the Key which we have retrieved in step 1. Step 1: we must create an Einstein Platform Services Account using the link and for more detailed info follow the steps in this link. We shall see a use case where the customers sentiment is predicted for a Case record in Salesforce and specifically, we are going to analyze the Description field which contains the details about the Case. In the world of Artificial Intelligence technology, the Einstein Sentiment is a way to forecast whether a sentence is positive, negative, or neutral.
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