UNICODE BASED ESTIMATION OF TEXT INTELLIGIBILITY

1 . A computerized method, comprising:

obtaining a text object from a computing resource, the object being configurable for display on at least one client device;

analyzing the text object for intelligibility, including:

applying a weight to each character in the text object based on modeled Unicode weights, the modeled Unicode weights being determined from an analysis of a set of domain resources;

determining a total weight for the text object based on the weight applied to each character;

determining a viability rate for words in the text object; and

generating an intelligibility analysis for the text object based on the total weight and viability rate; and

effectuating an operational change at the computing resource based on the intelligibility analysis.

2 . The method of claim 1 , wherein the computing resource includes at least one of a web server or an app server.

3 . The method of claim 1 , wherein the modeled Unicode weights are determined with a machine learning algorithm.

4 . The method of claim 1 , wherein the modeled Unicode weights include:

a first weight assigned to a first set of Unicode characters determined to have a first usage rate;

a second weight assigned to a second set of Unicode characters determined to have a second usage rate;

a third weight assigned to a third set of Unicode characters determined to have a third usage rate; and

a fourth weight assigned to a fourth set of Unicode characters determined to have a fourth usage rate.

5 . The method of claim 1 , wherein the total weight of the text object is an average of all weights applied to the characters in the text object.

6 . The method of claim 1 , wherein the viability rate for words in the text object is determined by:

randomly selecting a set of characters in the text object;

evaluating characters adjacent each selected character to judge whether a word or phrase can be formed using each selected character;

generating the viability rate based on a number of selected characters that are judged to form words or phrases.

7 . The method of claim 1 , wherein the intelligibility analysis includes:

determining each language used in the text object; and

calculating a separate viability rate for each language.

8 . The method of claim 1 , wherein the operational change effectuating at the computing resource includes altering a display output to the at least one client device to inform a user of a potential intelligibility issue.

9 . The method of claim 1 , wherein the operational change effectuating at the computing resource includes outputting an alert condition to an administrator of the computing resource.

10 . The method of claim 1 , wherein the set of domain resources share a common domain with the computing resource, the common domain being selected from a group consisting of: a web portal, a business, an industry, a technology area, a social media platform, a field of endeavor, an enterprise, a government agency, and an industry.

11 . A computing system, comprising:

a memory; and

a processor coupled to the memory and configured to analyze a text object from a computing resource for intelligibility according to a process that includes:

applying a weight to each character in the text object based on modeled Unicode weights, the modeled Unicode weights being determined from an analysis of a set of domain resources;

determining a total weight for the text object based on the weight applied to each character;

determining a viability rate for words in the text object;

generating an intelligibility analysis for the text object based on the total weight and viability rate;

effectuating an operational change at the computing resource based on the intelligibility analysis.

12 . The system of claim 11 , wherein the computing resource includes at least one of a web server or an app server.

13 . The system of claim 11 , wherein the modeled Unicode weights are determined with a machine learning algorithm.

14 . The system of claim 11 , wherein the modeled Unicode weights include:

a first weight assigned to a first set of Unicode characters determined to have a first usage rate;

a second weight assigned to a second set of Unicode characters determined to have a second usage rate;

a third weight assigned to a third set of Unicode characters determined to have a third usage rate; and

a fourth weight assigned to a fourth set of Unicode characters determined to have a fourth low usage rate.

15 . The system of claim 11 , wherein the total weight of the text object is an average of all weights applied to the characters in the text object.

16 . The system of claim 11 , wherein the viability rate for words in the text object is determined by:

randomly selecting a set of characters in the text object;

evaluating characters adjacent each selected character to judge whether a word or phrase can be formed using each selected character; and

generating the viability rate based on a number of selected characters that are judged to form words or phrases.

17 . The system of claim 11 , wherein determining the viability rate includes:

determining each language used in the text object; and

calculating a separate viability rate for each language.

18 . The system of claim 11 , wherein the operational change effectuating at the computing resource includes altering a display output to at least one client device to inform a user of a potential intelligibility issue.

19 . The system of claim 11 , wherein the operational change effectuating at the computing resource includes outputting an alert condition to an administrator of the computing resource.

20 . The system of claim 11 , wherein the set of domain resources share a common domain with the computing resource, the common domain being selected from a group consisting of: a web portal, a business, an industry, a technology area, a social media platform, a field of endeavor, an enterprise, a government agency, and an industry.