Systems and methods for document deviation detection
The present disclosure is directed towards systems and methods for detecting deviations from a standard document in a document being analyzed. The inventive systems and methods include performing a first level analysis to detect portions of a standard that are identical to, similar to, deleted from, and added to a document being evaluated. A second level analysis may be applied to those portions of the standard that are similar, but not identical to, portions of the document being evaluated to assist a user in identifying similarities and differences between the two portions of text.
1. A system comprising memory and one or more processors communicatively coupled to the memory, the one or more processors configured to:
determine a deviation between a document and a standard document based on a long string matching analysis configured to obtain an identification of at least one of any identical groupings of text, any similar groupings of text, any groupings of text in the document that have been deleted from the standard document, and any groupings of text in the document that have been added to the standard document,
wherein the long string matching analysis is configured to iteratively increment a string of text from a text grouping from the standard document in a word by word manner within the text grouping such that each string of text within the text grouping is compared between the standard document and the document;
modify, based on the long string matching analysis, one or more visual characteristics of the document to generate a modified version of the document;
compare a deviation detected in the document from the standard document to an accepted deviation previously identified from the standard document in one or more previous documents; and
cause rendering of an interactive graphical interface element associated with the modified version of the document via a user interface of a user computing device, wherein the interactive graphical interface element is configured to (i) display visualization data associated with the modified version of the document, (ii) indicate whether a deviation detected in the document from the standard document has been previously accepted, and (iii) dynamically alter the visualization data based on user input received via the user interface.
2. The system of claim 1 , wherein the one or more processors are further configured to:
determine standard document based on the type of the first document.
3. The system of claim 1 , wherein the one or more processors are further configured to:
determine the deviation between the document and the standard document based on a deviation analysis with respect to any similar groupings of text that are identified to obtain similarity data indicating a degree to which the text grouping from the standard document is similar to a text grouping from the document.
4. The system of claim 3 , wherein the one or more processors are further configured to:
modify the one or more visual characteristics of the document based on the deviation analysis.
5. The system of claim 1 , wherein the one or more processors are further configured to:
perform a textual similarity mapping analysis that compares a number of shared tokens between the text grouping from the standard document and a text grouping from the document.
6. The system of claim 5 , wherein the one or more processors are further configured to:
modify the one or more visual characteristics of the document based on the textual similarity mapping analysis.
7. The system of claim 1 , wherein the one or more processors are further configured to:
perform a textual similarity mapping analysis that compares a number of unique tokens among the text grouping from the standard document and a text grouping from the document.
8. The system of claim 7 , wherein the one or more processors are further configured to:
modify the one or more visual characteristics of the document based on the textual similarity mapping analysis.