Artificial intelligence-based construct scoring system

A system, comprising:

• data ingestion and cleaning logic configured to:
• ingest structured data and unstructured data identifying one or more constructors, one or more constructs, and one or more categories of constructs, wherein individual constructs of the one or more constructs are:
• associated with at least one particular constructor of the one or more constructors;
• and
• associated with at least one particular category of the one or more categories of constructs;
• and
• clean the ingested structured and unstructured data to generate cleansed structured data and cleansed unstructured data;
• knowledge graph generation logic configured to:
• represent in a constructor graph the one or more constructors, the one or more constructs, and the one or more categories as nodes of the constructor graph;
• represent, using edges between the nodes of the constructor graph:
• similarity between constructors of the one or more constructors;
• similarity between constructs of the one or more constructs;
• and
• influences between the categories of the one or more categories of constructs;
• and
• identify clusters of nodes in the constructor graph and central nodes of the clusters of nodes;
• sentiment analysis logic configured to use natural language processing to detect entries in the cleansed structured data and cleansed unstructured data that identify the one or more constructors, the one or more constructs, and the one or more categories and associated sentiments;
• baselining logic configured to:
• determine from past score records of constructs of a target constructor and of constructors similar to the target constructor, a baseline score indicator for a target construct by the target constructor,
• wherein constructor similarity is determined by querying the target construct and the target constructor against the clusters in the constructor graph, and
• wherein the determination of the baseline score indicator takes into account a weighted combination of (i) the past score records of the constructs of the target constructor, (ii) the past score records of the constructs of the constructors similar to the target constructor, and (iii) the associated sentiments as detected for the target construct, the target constructor, and a category of the target construct and the target constructor;
• expert knowledge basing logic configured to use expert rule sets to generate a final score indicator based on applying the expert rule sets to the baseline score indicator;
• and
• explanation logic configured to display the final score indicator in conjunction with a breakdown of application of the weighted combination and the expert rule sets.