Systems and methods for identifying evidentiary information

A system for analyzing digital content available via a networked resource, the system comprising:

• a cognitive engine including a processor and an operably coupled memory, the memory comprising instructions that, when executed, causes the processor to implement:
• a pre-reading of the digital content to determine a size of the digital content, a number of documents in the digital content, and an amount of processing needed to completely pre-process the digital content by
• selecting a subset of the digital content,
• processing the subset of the digital content using a subset of cognitive engine resources, the cognitive engine resources including a cogent information engine, a concept extraction engine, and an entity extraction engine, and
• determining a benchmark amount of time to process the subset of the digital content;
• a pre-processing of a full set of the digital content by selectively loading a plurality of cognitive engine instances, wherein the number of the plurality of cognitive engine instances that are loaded is based on a scaling of the benchmark amount of time and the size of the subset of the digital content from the pre-reading;
• wherein the cogent information engine is configured to:
• parse a document from the digital content,
• identify a part of speech for every word in the document,
• identify a subject word for all reference words in the document,
• generate a parsing tree for the document to determine a sentence structure for every sentence in the document based on the parts of speech and the subject words,
• determine a sentence meaning for every sentence in the document based on the sentence structure and a plurality of grammatical tests,
• determine a weighting for each sentence wherein sentences having similar sentence meanings have similar weightings;
• and
• output a subset of the sentences based on the weighting as cogent information of the document;
• the concept extraction engine configured to determine noun phrases in the cogent information based on the part of speech identification, wherein each noun phrase is a digital content concept;
• the entity extraction engine configured to:
• identify a plurality of entities for each of the identified digital content concepts and one or more relations between the plurality of entities based on the part of speech identification, and
• classify the plurality of entities;
• and
• a pattern recognition engine configured to
• determine a difference in relations between entities of the identified digital content concepts,
• generate an output of the differences relative to a time marker, and
• provide a conclusory action for the digital content.