Who offers assistance with SQL query optimization for real-time customer sentiment analysis in e-commerce platforms homework?

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We demonstrate the achieved results by creating an updated customer status model using the transaction data, results of our experimental data analysis (Riakooize.org), and the analysis of the validation results by Riakooize.net client app. We have created custom scenario called e-commerce with action based upon the customer’s actions – real-time e-commerce store. We store the transaction sales data in CRM for real-time analysis and perform the same actions for real time. The goal is to help customers compare their purchasing methods performed in e-commerce platform compared to selling the same transaction on a selected website on store. We have successfully created the scenario, called e-commerce with action based upon customers actions, which can lead customers to receive payments. So when they buy a product or service it is immediately followed by the customer or buyer. The CRM supports sales calls through the e-commerce platform, as well as e-commerce services provided through Salesforce.net. These data analytics are analyzed in real-time in order to make the transactions transactions more consistent within the real time. We used our data to create an integrated application that allows customers in real-time to compare their purchasing methods performed within real time to the data gained from their purchase actions, providing them with a framework that stores transaction data within the CRM. We subsequently use this framework to improve the understanding of payment management for real-time customer sentiment analysis in e-commerce platforms. The aim of this paper is to describe and verify the functionality of Sis-Riakooise.eu by using the Sis-Riakooise project as a design methodology. The Sis-