TEXT ANALYSIS

• US 20150293903A1
• Filed: 10/28/2013
• Published: 10/15/2015
• Est. Priority Date: 10/31/2012
• Status: Abandoned Application

• Current Assignee: Lancaster University Business Enterprises Limited
• Original Assignee: Lancaster University Business Enterprises Limited
• Inventors: Baron, Alistair, Qasemizadeh, Behrang, Rayson, Paul Edward, Walkerdine, James Michael, Greenwood, Phil James, Rashid, Muhammad Awais
• Application Number:
  US14/438,709
• Publication Number:
  US 20150293903A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 40/10 Text processing natural language analysis G06F40/20; semantic analysis G06F40/30; processing or translation of natural language G06F40/40
• CPC Class Codes: G06F 40/253 Grammatical analysis; Style critique
• CPC Class Codes: G06F 40/284 Lexical analysis, e.g. tokenisation or collocates
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

A method of processing text having an associated source type to generate data indicative of a property associated with said text, said text comprising a plurality of tokens. The method comprises generating a plurality of metrics of said text based upon said plurality of tokens, the plurality of metrics comprising token count data for said plurality of tokens, part of speech data for said plurality of tokens, semantic field data for said plurality of tokens and at least one metric indicative of a property of the text; selecting reference data from a plurality of reference data based upon the source type associated with the text processing each of said plurality of metrics of said text based upon the reference data to generate data indicating a relationship between said plurality of metrics and said reference data; and combining the data indicating a relationship between the respective ones of the plurality of metrics and said reference data to generate the data indicative of a property associated with said text. The method may be applied to author profiling.

Claims

1-27. -27. (canceled)

28. A method of processing text having an associated source type to generate data indicative of a property associated with said text, said text comprising a plurality of tokens, the method comprising:

generating a plurality of metrics of said text based upon said plurality of tokens, the plurality of metrics comprising token count data for said plurality of tokens, part of speech data for said plurality of tokens, semantic field data for said plurality of tokens and at least one metric indicative of a property of the text;

selecting reference data from a plurality of reference data based upon the source type associated with the text;

processing each of said plurality of metrics of said text based upon the reference data to generate data indicating a relationship between respective ones of said plurality of metrics and said reference data; and

combining the data indicating a relationship between the respective ones of the plurality of metrics and said reference data to generate the data indicative of a property associated with said text;

wherein first data indicative of a first property of the author of said text is generated based upon a first selected reference data;

wherein second data indicative of a second property of the author of said text is selected based upon a second reference data; and

wherein one of said first and second properties is selected based upon said first and second data.

29. A method according to claim 28, further comprising:

generating further data indicative of a further property of the author of the text based upon further reference data, the further reference data being selected based upon the selected one of the first and second properties.

30. A method according to claim 29, wherein the further property is a sub-category of the selected one of the first and second properties.

31. A method according to claim 28, wherein said combining comprises processing the data indicating a relationship between the respective ones of the plurality of metrics and said reference data to provide a binary value for at least one metric of the plurality of metrics indicating which of the first and second properties provides a shortest distance score for the at least one metric to generate said first and second data.

32. A method according to claim 29, further comprising:

selecting, using a strongest path algorithm, one of the first, second or further properties based upon the first, second and further data.

33. A method according to claim 28, wherein the source type indicates one of a plurality of computer mediated and online communications media.

34. A method according to claim 33, wherein the plurality of digital communications media are selected from the group consisting of:

email, social networking, micro-blogging and short message service.

35. A method according to claim 28, wherein the combining comprises a weighted combination of the data indicating a relationship between the respective ones of the plurality of metrics and said reference data.

36. A method according to claim 35, wherein weights for the weighted combination are selected based upon said associated source type.

37. A method according to claim 28, further comprising at least one selected from the group consisting of:

the property is age or gender;

the reference data is further selected based upon the property associated with the text;

the reference data comprises corresponding word count data, part of speech data, semantic field data and at least one metric.

38. A method according to claim 28, wherein processing each of said plurality of metrics of said text based upon the reference data to generate data indicating a relationship between respective ones of said plurality of metrics and said reference data comprises determining a correspondence between the reference data and the data generated from said text;

and

wherein the correspondence optionally is based upon a count associated with at least some of the metrics; and

wherein determining the correspondence optionally comprises determining a distance score; and

wherein optionally the distance score is based upon a log-likelihood distance score.

39. A method according to claim 28, wherein the text comprises a plurality of texts, each text having an associated source, wherein each of the plurality of texts is processed based upon respective reference data to generate respective data indicating a relationship between respective ones of said plurality of metrics and the reference data for the respective text;

and wherein combining the data indicating a relationship between the respective ones of the plurality of metrics and the reference data to generate the data indicative of a property of the author of said text optionally comprises combining the respective data indicating a relationship between respective ones of said plurality of metrics and the reference data for the respective text to generate data indicative of a property of the author of each of the plurality of texts; and

combining the data indicative of a property of the author of each of the plurality of texts to generate the data indicative of a property of the author of the text.

40. A method according to claim 28, further comprising:

wherein combining the data indicative of a property of the author of each of the plurality of texts to generate the data indicative of a property of the author of the text comprises a weighted combination; and

wherein each of the plurality of texts is optionally weighted based upon at least one selected from the group consisting of;

an amount of the respective text relative to a total amount of the plurality of texts; and

a predictive power of text from a source type.

41. A method according to claim 28, wherein said author is an individual or a persona associated with an individual.

42. A method according to claim 28, wherein said plurality of metrics of said text are generated based upon said reference data.

43. A method according to claim 42, wherein generating said plurality of metrics of said text comprises processing said reference data based upon predetermined criteria.

44. A method according to claim 28, wherein said reference data comprises a plurality of models, each model having an associated subset of said plurality of metrics, wherein processing each of said plurality of metrics of said text based upon the reference data comprises processing corresponding subsets of said plurality of metrics based upon the associated models to generate respective data indicating a relationship between each of said subsets of said plurality of metrics and said reference data.

45. A method according to claim 44, wherein each of said plurality of models is a support vector model.

46. A non-transitory computer readable medium carrying a computer program comprising computer readable instructions configured to cause a computer to carry out a method of processing text having an associated source type to generate data indicative of a property associated with said text, said text comprising a plurality of tokens, the method comprising:

generating a plurality of metrics of said text based upon said plurality of tokens, the plurality of metrics comprising token count data for said plurality of tokens, part of speech data for said plurality of tokens, semantic field data for said plurality of tokens and at least one metric indicative of a property of the text;

selecting reference data from a plurality of reference data based upon the source type associated with the text;

processing each of said plurality of metrics of said text based upon the reference data to generate data indicating a relationship between respective ones of said plurality of metrics and said reference data; and

combining the data indicating a relationship between the respective ones of the plurality of metrics and said reference data to generate the data indicative of a property associated with said text;

wherein first data indicative of a first property of the author of said text is generated based upon a first selected reference data;

wherein second data indicative of a second property of the author of said text is selected based upon a second reference data; and

wherein one of said first and second properties is selected based upon said first and second data.

47. A computer apparatus for processing text having an associated source type to generate data indicative of a property associated with said text, said text comprising a plurality of tokens, the apparatus comprising:

a memory storing processor readable instructions; and

a processor arranged to read and execute instructions stored in said memory;

wherein said processor readable instructions comprise instructions arranged to control the computer to carry out a method of processing text having an associated source type to generate data indicative of a property associated with said text, said text comprising a plurality of tokens, the method comprising;

generating a plurality of metrics of said text based upon said plurality of tokens, the plurality of metrics comprising token count data for said plurality of tokens, part of speech data for said plurality of tokens, semantic field data for said plurality of tokens and at least one metric indicative of a property of the text;

selecting reference data from a plurality of reference data based upon the source type associated with the text;

processing each of said plurality of metrics of said text based upon the reference data to generate data indicating a relationship between respective ones of said plurality of metrics and said reference data; and

combining the data indicating a relationship between the respective ones of the plurality of metrics and said reference data to generate the data indicative of a property associated with said text;

wherein first data indicative of a first property of the author of said text is generated based upon a first selected reference data;

wherein second data indicative of a second property of the author of said text is selected based upon a second reference data; and

wherein one of said first and second properties is selected based upon said first and second data.