Generating and presenting a searchable graph based on a graph query

A system, comprising:

• one or more processors;
• memory in electronic communication with the one or more processors;
• and
• instructions stored in the memory, the instructions being executable by the one or more processors to:
• obtain a plurality of digital content items;
• apply an entity detection model to the plurality of digital content items to identify a subset of digital content items from the plurality of digital content items that includes one or more entities of interest within visual content of the subset of digital content items, wherein the entity detection model is trained to detect the one or more entities of interest within a given digital content item based on a combination of metadata and visual content of the given digital content item;
• receive a set of concept identifiers for the subset of digital content items indicating a plurality of concepts estimated to be present within the subset of digital content items;
• generate a correlation graph object for the subset of digital content items, the correlation graph object including a searchable matrix including the set of concept identifiers, the one or more entities of interest, and a plurality of correlations having correlation values indicating frequency of co-occurrence between respective entities of interest and respective content identifiers within the subset of digital content items;
• and
• provide a presentation of the correlation graph object via a graphical user interface of a client device based on a graph query, the graph query including an input term from the set of concept identifiers.

A non-transitory computer readable medium storing instructions thereon that, when executed by one or more processors, causes a computing device to:

• obtain a plurality of digital content items;
• apply an entity detection model to the plurality of digital content items to identify a subset of digital content items from the plurality of digital content items that includes one or more entities of interest within visual content of the subset of digital content items, wherein the entity detection model is trained to detect the one or more entities of interest within a given digital content item based on a combination of metadata and visual content of the given digital content item;
• receive a set of concept identifiers for the subset of digital content items indicating a plurality of concepts estimated to be present within the subset of digital content items;
• generate a correlation graph object for the subset of digital content items, the correlation graph object including a searchable matrix including the set of concept identifiers, the one or more entities of interest, and a plurality of correlations having correlation values indicating frequency of co-occurrence between respective entities of interest and respective content identifiers within the subset of digital content items;
• and
• provide a presentation of the correlation graph object via a graphical user interface of a client device based on a graph query, the graph query including an input term from the set of concept identifiers.