Computerized natural language processing with insights extraction using semantic search

A computer-implemented method for analyzing data, and generating recommendations and making predictions based on an analysis, comprising:

• using an expert system to interpret unstructured data, comprising a processor:
• accessing unstructured data related to one or more topics of interest, and
• applying a trained natural language processor (NLP) to the unstructured data, comprising the processor:
• transforming the unstructured data to produce transformed unstructured data related to the one or more topics of interest;
• accessing a knowledge base, the knowledge base comprising structured data related to the one or more topics of interest, and a plurality of rules related to the structured data;
• activating one or more of the plurality of rules;
• determining one or more inferences from the unstructured data by applying one or more activated rules from the knowledge base to the transformed unstructured data;
• and
• determining at least one context based on the one or more inferences, and
• generating a recommendation from the unstructured data using the at least one context.

A non-transient, computer-readable storage medium having encoded thereon machine instructions for analyzing data, and generating recommendations and making predictions based on an analysis, wherein a processor executes the machine instructions to:

• use an expert system to interpret unstructured data, comprising the processor:
• accessing unstructured data related to one or more topics of interest, and
• applying a trained natural language processor (NLP) to the unstructured data, comprising the processor:
• transforms the unstructured data to produce transformed unstructured data related to the one or more topics of interest;
• accessing a knowledge base, the knowledge base comprising structured data related to the one or more topics of interest, and a plurality of rules related to the structured data;
• activating one or more of the plurality of rules;
• determining one or more inferences from the unstructured data by applying one or more activated rules from the knowledge base to the transformed unstructured data;
• and
• determining at least one context based on the one or more inferences, and
• generating a recommendation from the unstructured data using the at least one context.