Posted On: Sep 1, 2020
On August 31st, AWS Solutions announced the launch of a new solution, Discovering Hot Topics using Machine Learning. This Solution helps brand-conscious customers understand the contextualization of the hottest topics being actively discussed. This solution ingests large-scale customer feedback and performs real-time analytics using machine learning to separate signal from the noise that goes beyond the basic aggregation of sentiment analysis. This allows organizations to deepen the understanding of their customers opinions, identify new opportunities, and react quickly to change.
This solution ingests text, image and video (video: upcoming feature) from online discourse in order to perform topic and sentiment analyses as well as text in images and unsafe content detections. The default input data source for the solution is Twitter, but can be extended to ingest other social media platforms as well as enterprises' internal systems. The output of this inference is organized in a dashboard for users to consult and analyze.
Traditionally organizations use surveys, user interviews, and online reviews to gather customer feedback. However these methods tend to be inefficient and do not scale well with a large customer base. For brand conscious businesses, lack of a comprehensive visibility into their customer base has a direct impact on their bottom-line, hinders growth opportunities, and increases the risk of being associated with any negativity. For details about this solution, see the AWS Solutions Implementation webpage.
Additional AWS Solutions are available on the AWS Solutions Implementation webpage, where customers can browse solutions by product category or industry to find AWS-vetted, automated, turnkey reference implementations that address specific business needs.