Method and system for assessing similarity of documents

A system for assessing similarity of documents, comprising:

• a processor;
• a document repository including an archived document and an archived document metadata vector for archived document metadata, wherein the archived document metadata vector was created by tokenizing the archived document metadata and vectorizing the tokenized metadata to obtain the archived document metadata vector;
• a non-transitory computer readable medium, comprising instructions for:
• extracting a reference document text from a reference document;
• quantifying the reference document by:
• tokenizing a portion of the reference document and vectorizing the tokenized portion to obtain a reference document text vector for the portion of the reference document, and
• tokenizing reference document metadata and vectorizing the tokenized metadata to obtain a reference document metadata vector for the reference document metadata;
• associating at least a portion of the quantified reference document and the archived document based on the reference document metadata and the archived document metadata vector;
• and
• linking the at least the portion of the quantified reference document and the archived document based on the association between the at least the portion of the quantified reference document and the archived document.

A method for assessing similarity of documents, comprising:

• obtaining an archived document metadata vector for archived document metadata for an archived document, wherein the archived document metadata vector was created by tokenizing the archived document metadata and vectorizing the tokenized metadata to obtain the archived document metadata vector;
• extracting a reference document text from a reference document;
• quantifying the reference document by:
• tokenizing a portion of the reference document and vectorizing the tokenized portion to obtain a reference document text vector for the portion of the reference document, and
• tokenizing reference document metadata and vectorizing the tokenized metadata to obtain a reference document metadata vector for the reference document metadata;
• associating at least a portion of the quantified reference document and the archived document based on the reference document metadata and the archived document metadata vectors;
• and
• linking the at least the portion of the quantified reference document and the archived document based on the association between the at least the portion of the quantified reference document and the archived document.

A non-transitory computer readable medium, comprising instructions for:

• obtaining an archived document metadata vector for archived document metadata for an archived document, wherein the archived document metadata vector was created by tokenizing the archived document metadata and vectorizing the tokenized metadata to obtain the archived document metadata vector;
• extracting a reference document text from a reference document;
• quantifying the reference document by:
• tokenizing a portion of the reference document and vectorizing the tokenized portion to obtain a reference document text vector for the portion of the reference document, and
• tokenizing reference document metadata and vectorizing the tokenized metadata to obtain a reference document metadata vector for the reference document metadata;
• associating at least a portion of the quantified reference document and the archived document based on the reference document metadata and the archived document metadata vectors;
• and
• linking the at least the portion of the quantified reference document and the archived document based on the association between the at least the portion of the quantified reference document and the archived document.