Media theme propagation using decretization of continuous variables

A computing device that is configured to facilitate propagation of themes, comprising:

• a processor;
• a memory in electronic communication with the processor;
• instructions stored in the memory, the instructions being executable by the processor to perform a method, comprising:
• identifying media in a media data store having a content feature contained in a presentation of the media;
• extracting the content feature of the media as a continuous variable normalized within a range from 0 to 1, a magnitude of the continuous variable within the range being proportional to a contribution of the continuous variable to a theme label to be applied to the media;
• discretizing the continuous variable into a bucket representing a discrete value, using a MapReduce job;
• applying the theme label to the media;
• and
• propagating the theme label to other media with continuous variables discretized into the bucket;
• validating that the user-selected theme label propagated to other digital music is associated with a pre-specified label using a MapReduce runner;
• generating a learning dataset having a defined set of themes based on the validating;
• and
• categorizing unlabeled digital media in a digital media catalog to the set of themes using the learning dataset.

A non-transitory computer-readable medium comprising computer-executable instructions which, when executed by a processor, implement a system, comprising:

• a training data store storing a training dataset having a defined set of themes to apply theme labels to unlabeled music;
• a media data store storing the unlabeled music;
• a feature extractor configured to extract a feature from the unlabeled music as a continuous variable normalized within a range from 0 to 1 and having a scaling factor which varies between audio features;
• a feature discretizer in a MapReduce job configured to discretize the continuous variable into a bucket as a discrete value;
• and
• a label generator configured to use Adsorption machine learning to generate and propagate theme labels for the unlabeled music based on the discrete value in the bucket for the unlabeled music;
• validate that the user-selected theme label propagated to other digital music is associated with a pre-specified label using a MapReduce runner;
• and categorize the unlabeled music in a digital media catalog to the set of themes based on the validating.