Overview - AI-Driven Social Media Dashboard

Overview

Companies can gain valuable insight and deepen brand awareness by analyzing their social media interactions with customers. Using machine learning (ML) and business intelligence (BI) services from Amazon Web Services (AWS) including Amazon Translate, Amazon Comprehend, Amazon Kinesis, Amazon Athena, and Amazon QuickSight, businesses can build meaningful, low-cost social media dashboards to analyze customer sentiment, which can lead to better opportunities for acquiring leads, improve website traffic, strengthen customer relationships, and improve customer service.

To help customers more easily build a natural-language-processing (NLP)-powered social media dashboard for customer feedback, AWS offers the AI-Driven Social Media Dashboard. This solution automatically provisions and configures the AWS services necessary to capture multi-language tweets in near real-time, translate them, and display them on a dashboard powered by Amazon QuickSight.

You can also capture both the raw and enriched datasets and durably store them in the solution's data lake. This allows data analysts to quickly and easily perform new types of analytics and ML on this data.

Cost

You are responsible for the cost of the AWS services used while running this reference deployment. As of the date of publication, the cost for running this solution with default settings in the US East (N. Virginia) Region is approximately $190 per month for ingesting 10,000 tweets per day and storing them for one year. Refer to Appendix A for a breakdown of the cost.