SAP SE
Assessing Impact of Media Data Upon Brand Worth

Abstract:

Embodiments allow rapid prediction of the impact of media data upon brand worth. One cloud service crawls service providers (e.g., TWITTER, FACEBOOK, blogging services) and provides sentiment analysis of internet feeds. Another cloud service may have pre-populated knowledge of an internal organization chart, in order to focus upon feeds relating to employees. Yet another machine learning (ML) service may predict an impact of the media data upon brand worth. Data models of the ML service can consider factors such as: a source of the information, a particular publisher sharing the news, a time since the news was published, and/or a specific individual associated with the news. An output identifier could be a severity index, the sentiment (e.g., positive or negative), financial impact trends, the time to react, and others. Following testing of the data model and the training data, embodiments may predict the impact of a future media communication.