System and method for linguistic term differentiation

Abstract

A representative system and method for linguistic differentiation comprises a computing device: receiving input data from a requestor; generating a plurality of term units from the input data, where the plurality of term units comprise of a first number of term units; identifying a plurality of differentiable terms of the plurality of term units, where the plurality of differentiable terms comprise a second number of term units; determining a differentiability score for each term unit of the plurality of term units; determining an input data score for the input data by evaluating a ratio of the second number of term units to the first number of term units; and transmitting, a plurality of differentiable term units to the requestor in order of their differentiability scores.

What is claimed is: 
     
         1 . A method comprising:
 receiving, by a computing device, an input;   generating, by the computing device, a plurality of term units (TUs) from the input, the plurality of TUs consisting of a first number of TUs;   identifying, by the computing device, a plurality of differentiable TUs of the plurality of TUs, the plurality of differentiable TUs consisting of a second number of TUs;   determining, by the computing device, a differentiability score for each term unit (TU) of the plurality of TUs, wherein the differentiability score indicates a substantially fixed meaning or a non-fixed meaning;   determining, by the computing device, an input score for the input by dividing the second number of TUs by the first number of TUs; and   transmitting, by the computing device, the plurality of differentiable TUs in differentiability-scored order.   
     
     
         2 . The method of  claim 1 , wherein the input comprises a document, and the method is repeated for a plurality of documents. 
     
     
         3 . The method of  claim 2 , further comprising prioritizing, by the computing device, the plurality of documents based on input score. 
     
     
         4 . The method of  claim 2 , wherein the plurality of TUs comprises a set of topics, and further comprising prioritizing, by the computing device, the set of topics based on differentiable TUs of the set of topics. 
     
     
         5 . The method of  claim 1 , wherein determining the differentiability score is based on a grammatical scheme or a functional scheme. 
     
     
         6 . The method of  claim 5 , wherein:
 the grammatical scheme comprises classification as a noun, a modifier, an adverb, or a verb; and   the functional scheme comprises classification based on a type of writing.   
     
     
         7 . The method of  claim 6  further comprising, producing, by the computing device, a topical analysis of the input based on the plurality of differentiable TUs. 
     
     
         8 . The method of  claim 6  further comprising, performing, by the computing device, a search of the input based on the plurality of differentiable TUs. 
     
     
         9 . The method of  claim 6 , wherein the type of writing comprises a style of writing or a linguistic functional scope of the input. 
     
     
         10 . The method of  claim 1 , wherein the computing device comprises a computer, a laptop computer, a personal computer, a server computer, a personal data assistant, a camera, a phone, a cell phone, a mobile phone, a smart phone, a tablet, a media server, a music player, a game box, a data storage device, a measuring device, a handheld scanner, a scanning device, a barcode reader, a point-of-sale (POS) device, a digital assistant, a desk phone, an Internet Protocol (IP) phone, a solid-state memory device, or a memory card. 
     
     
         11 . A method comprising:
 receiving, by a computing device, a document;   generating, by the computing device, a plurality of term units (TUs) from the document, wherein each term unit (TU) of the plurality of TUs comprises a word, a multi-word, a number, or a symbol, wherein the plurality of TUs consist of a plurality of differentiable TUs and a plurality of non-differentiable TUs, and the plurality of TUs consists of a first number of TUs;   identifying, by the computing device, the plurality of non-differentiable TUs, wherein each of the plurality of non-differentiable TUs comprises non-fixed meaning;   identifying, by the computing device, the plurality of differentiable TUs, wherein each of the plurality of differentiable TUs comprises substantially fixed meaning, and the plurality of differentiable TUs consists of a second number of TUs;   determining, by the computing device, a differentiability score for each TU of the plurality of TUs;   determining, by the computing device, a document score for the document by dividing the second number of TUs by the first number of TUs; and   transmitting, by the computing device, the plurality of differentiable TUs in order of differentiability score for each TU of the plurality of differentiable TUs.   
     
     
         12 . The method of  claim 11 , wherein the method is repeated for a plurality of documents, and further comprising prioritizing, by the computing device, the plurality of documents based on document score. 
     
     
         13 . The method of  claim 12 , wherein the plurality of TUs comprises a set of topics, and further comprising prioritizing, by the computing device, the set of topics based on differentiability scores of the plurality of TUs of the set of topics. 
     
     
         14 . The method of  claim 13 , wherein determining the differentiability score is based on a grammatical scheme or a functional scheme. 
     
     
         15 . The method of  claim 14 , wherein:
 the grammatical scheme comprises classification as a noun, an adjective, a modifier, an adverb, or a verb; and   the functional scheme comprises classification based on a linguistic scope comprising at least one of a type of writing or a style of writing.   
     
     
         16 . The method of  claim 15 , wherein the determining the differentiability score comprises providing a plurality of differentiability-scored TUs configured for use in a topical analysis of the plurality of documents. 
     
     
         17 . The method of  claim 15 , wherein the determining the differentiability score comprises providing a plurality of differentiability-scored TUs configured for use in a search of the plurality of documents. 
     
     
         18 . A computing device comprising:
 one or more processors; and   a non-transitory, computer-readable medium storing a program that is executable by the one or more processors, the program comprising instructions to:
 receive a document; 
 generate a plurality of term units (TUs) from the document, wherein each term unit (TU) of the plurality of TUs comprises a word, a multi-word, a number, or a symbol, the plurality of TUs consisting of a plurality of differentiable TUs and a plurality of non-differentiable TUs, the plurality of TUs consisting of a first number of TUs; 
 identify the plurality of non-differentiable TUs, wherein each of the plurality of non-differentiable TUs have a non-fixed linguistic meaning; 
 identify a plurality of differentiable TUs of the plurality of TUs, wherein each of the plurality of differentiable TUs have a fixed linguistic meaning, and the plurality of differentiable TUs consists of a second number of TUs; 
 determine a differentiability score for each TU of the plurality of TUs, wherein the differentiability score indicates a substantially fixed linguistic meaning or a non-fixed linguistic meaning; 
 determine a document score for the document, the document score based on a ratio of the second number of TUs to the first number of TUs; and 
 transmit the plurality of differentiable TUs in order of at least one of ascending differentiability score or descending differentiability score. 
   
     
     
         19 . The computing device of  claim 18 , wherein the program further comprises instructions to prioritize a set of topics based on differentiability scores of TUs comprising the set of topics, wherein determination of the differentiability score is based on a grammatical scheme or a functional scheme, wherein:
 the grammatical scheme comprises classification as a noun, an adjective, a modifier, an adverb, or a verb; and   the functional scheme comprises classification based on type of writing.   
     
     
         20 . The computing device of  claim 19 , wherein:
 the computing device comprises a computer, a laptop computer, a personal computer, a server computer, a personal data assistant, a camera, a phone, a cell phone, a mobile phone, a smart phone, a tablet, a media server, a music player, a game box, a data storage device, a measuring device, a handheld scanner, a scanning device, a barcode reader, a point-of-sale (POS) device, a digital assistant, a desk phone, an Internet Protocol (IP) phone, a solid-state memory device, or a memory card; and   the plurality of scored differentiable TUs are transmitted to a requestor, and the requestor is a human user, a process of the computing device, or a second computing device.