Dynamic highlighting of repetitions in electronic documents

• US 9,372,849 B2
• Filed: 12/17/2015
• Issued: 06/21/2016
• Est. Priority Date: 08/06/2014
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Gluck, Olympia, Goldberg, Itzhack, Sharaby, Gilad, Sondhi, Neil
• Primary Examiner(s): Baderman, Scott
• Assistant Examiner(s): Velez-Lopez, Mario M
• Application Number:
  US14/972,134
• Publication Number:
  US 20160092433A1
• Time in Patent Office: 187 Days
• US Class Current: 1/1
• CPC Class Codes: G06F 3/0484 for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
• CPC Class Codes: G06F 40/117 Tagging; Marking up details of markup languages G06F40/143; Designating a block; Setting of attributes style sheets, e.g. eXtensible Stylesheet Language Transformation [XSLT], G06F40/154
• CPC Class Codes: G06F 40/143 Markup, e.g. Standard Generalized Markup Language [SGML] or Document Type Definition [DTD]
• CPC Class Codes: G06F 40/166 Editing, e.g. inserting or deleting
• 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 40/289 Phrasal analysis, e.g. finite state techniques or chunking
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06T 11/001 Texturing; Colouring; Generation of texture or colour inpainting G06T5/77
• CPC Class Codes: G06V 30/416 Extracting the logical structure, e.g. chapters, sections or page numbers; Identifying elements of the document, e.g. authors

Abstract

In a method for dynamically highlighting repetitive text in electronic documents, obtaining one or more user preferences related to a user reading an electronic document. The method further includes determining whether the electronic document contains one or more repetitive text associations, wherein a repetitive text association is data that provides one or more indications of repetitive text segments interspersed within a document. In response to determining that the electronic document contains one or more repetitive text associations, the method further includes identifying one or more repetitive text segments in the electronic document corresponding to the one or more repetitive text associations and determining a time duration expended by the user reading an instance of the identified one or more repetitive text segments within the electronic document. The method further includes highlighting the identified one or more repetitive text segments within the electronic document based one or more obtained user preferences.

Claims

1. A method for dynamically highlighting repetitive text in electronic documents, the method comprising:

obtaining, by one or more computer processors, one or more user preferences related to a user reading an electronic document;

determining, by one or more computer processors, whether the electronic document contains one or more repetitive text associations, wherein a repetitive text association is data that provides one or more indications of repetitive text segments interspersed within a document;

in response to determining that the electronic document contains one or more repetitive text associations, identifying, by one or more computer processors, one or more repetitive text segments in the electronic document corresponding to the one or more repetitive text associations;

determining, by one or more computer processors, a time duration expended by the user reading an instance of the identified one or more repetitive text segments within the electronic document, wherein determining a time duration expended by the user reading an instance of the identified one or more repetitive text segments within the electronic document comprises;

determining, by one or more computer processors, that a location of the user within the electronic document is at a location of one of the identified one or more repetitive text segments;

storing, by one or more computer processors, a time duration;

wherein the stored time duration includes one or more of;

a time duration expended by the user reading the instance of the identified one or more repetitive text segments;

a timestamp; and

the location of the instance of the identified one or more repetitive text segments; and

determining, by one or more computer processors, one or more trends related to the user reading one or more instances of the identified one or more repetitive text segments corresponding to the repetitive text association based on one or more of;

one or more obtained user preferences related to analyzing stored time durations for the repetitive text association;

one or more default preferences associated with the electronic document; and

a sequence in which the user read the one or more instances of the identified one or more repetitive text corresponding to the repetitive text association;

highlighting, by one or more computer processors, the identified one or more repetitive text segments within the electronic document based one or more obtained user preferences and one or more subsequent instances of the identified repetitive text segments corresponding to the repetitive text association within the electronic document based on one or more of;

one or more obtained user preferences associated with highlighting repetitive text associations within the electronic document;

one or more default preferences associated with the electronic document;

one or more determined trends associated with stored time durations corresponding to the repetitive text association; and

the sequence in which the one or more subsequent instances of the identified one or more repetitive text segments is read by the user; and

determining, by one or more computer processors, that the user has previously read the electronic document;

retrieving, by one or more computer processors, stored time duration information for one or more repetitive text associations of the previously read electronic document, by the user;

determining, by one or more computer processors, a current time stamp;

determining, by one or more computer processors, one or more time duration deviations between the current time stamp and the retrieved time duration information for one or more repetitive text associations of the previously read electronic document by the user; and

adjusting, by one or more computer processors, the highlighting of the identified one or more repetitive text segments corresponding to the one or more repetitive text associations based on the determined one or more time duration deviations.