Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating variants/versions of an audio digital component and providing a particular variant for displaying/playing on a client device. Methods can include receiving a request to generate a template for an audio digital component. Based on information in the request, the template can be generated. A first set of media data items can be linked to static media data blocks in the template. Based on the template, variants of the audio digital component can be generated and for each, media data items can be linked to the dynamic media data blocks. A request for the audio digital component can be received from a client device. A set of signals can be obtained from the client device, based on which, a particular variant of the audio digital component can be provided for display on the device.

Abstract: Systems and methods for selecting visual elements to insert into content items based on sentiment analysis are detailed herein. A data processing system can establish a performance prediction model for content items correlating constituent visual elements to sentiment performance metrics using a training dataset. The data processing system can identify a content item and candidate visual elements to insert. The content item can have constituent visual elements. The data processing system can determine a total sentiment performance metric for the content item using the performance prediction model. The data processing system can determine a combinative performance metric between the candidate visual element and the visual elements using the performance prediction model. The combinative performance metric can indicate a predicted effect on the total performance metric. The data processing system can select a candidate visual element to insert into the content item based on the combinative performance metric.