Systems and methods for records tagging based on a specific area or region of a record
Provided are systems and methods for classifying and tagging records in a record management system using information extracted and analyzed from specific areas or regions of records. A specific area or region of the record may be scanned, and the content disposed therein processed against a plurality of classification templates. Based on proximity to the classification templates, the record may be assigned one or more tags corresponding to the classification templates.
1. A computer-implemented method for classifying records, comprising:
a) defining one or more classification units for a classification template, wherein a classification unit comprises (i) an area or region of a given record and (ii) a classification method selected from a plurality of classification methods comprising one or more members selected from the group consisting of a pattern of regular expression, a pattern of part-of-speech, and one or more classification algorithms;
b) identifying one or more tags for the classification template; and
c) storing the classification template in a library of classification templates, wherein, during classification of a record with the classification template, the classification method of the classification unit is configured to be applied to content in the area or region of the record to classify the record, wherein upon determination of a match between the classification template and the record, the one or more tags are configured to be assigned to the record to classify the record.
2. The computer-implemented method of claim 1 , wherein the library of classification templates is stored in a graph database.
3. The computer-implemented method of claim 1 , wherein the classification unit is stored in a library of classification units.
4. The computer-implemented method of claim 3 , wherein a second classification template of the library of classification templates shares the classification unit, wherein the second classification template is different from the classification template.
5. The computer-implemented method of claim 3 , wherein the classification template comprises the classification unit and a second classification unit of the library of classification units, wherein the method further comprises defining the second classification unit.
6. The computer-implemented method of claim 5 , wherein the second classification unit comprises a second classification method selected from the plurality of classification methods, wherein the second classification method is different from the classification method.
7. The computer-implemented method of claim 1 , wherein a second classification template of the library of classification templates comprises a second classification method selected from the plurality of classification methods, wherein the second classification method is different from the classification method.
8. The computer-implemented method of claim 1 , wherein the classification unit comprises a page index for the area or region of the record.
9. The computer-implemented method of claim 1 , wherein the one or more tags of the classification template are configured to be assigned to the record if one or more conditions are satisfied.
10. A computer system for classifying records, comprising:
one or more processors; and
a memory, communicatively coupled to the one or more processors, including instructions executable by the one or more processors, individually or collectively, to implement a method for classifying records, the method comprising:
a) defining one or more classification units for a classification template, wherein a classification unit comprises (i) an area or region of a given record and (ii) a classification method selected from a plurality of classification methods comprising one or more members selected from the group consisting of a pattern of regular expression, a pattern of part-of-speech, and one or more classification algorithms;
b) identifying one or more tags for the classification template; and
c) storing the classification template in a library of classification templates, wherein, during classification of a record with the classification template, the classification method of the classification unit is configured to be applied to content in the area or region of the record to classify the record, wherein upon determination of a match between the classification template and the record, the one or more tags are configured to be assigned to the record to classify the record.
11. The computer system of claim 10 , further comprising a graph database, wherein the library of classification templates is stored in the graph database.
12. The computer system of claim 10 , wherein the classification unit is stored in a library of classification units.
13. The computer system of claim 12 , wherein a second classification template of the library of classification templates shares the classification unit, wherein the second classification template is different from the classification template.
14. The computer system of claim 12 , wherein the classification template comprises the classification unit and a second classification unit of the library of classification units.
15. The computer system of claim 14 , wherein the second classification unit comprises a second classification method selected from the plurality of classification methods, wherein the second classification method is different from the classification method.
16. The computer system of claim 10 , wherein a second classification template of the library of classification templates comprises a second classification method selected from the plurality of classification methods, wherein the second classification method is different from the classification method.
17. The computer system of claim 10 , wherein the classification unit comprises a page index for the area or region of the record.
18. The computer system of claim 10 , wherein the one or more tags of the classification template are configured to be assigned to the record if one or more conditions are satisfied.