System and method for encoding decoding parsing and translating emotive content in electronic communication

• US 7,434,176 B1
• Filed: 08/25/2003
• Issued: 10/07/2008
• Est. Priority Date: 08/25/2003
• Status: Expired due to Fees

• Current Assignee: Xenogenic Development Limited Liability Company (Intellectual Ventures LLC)
• Original Assignee: Walt Froloff
• Inventors: Froloff, Walt
• Primary Examiner(s): NGUYEN, CAO H
• Application Number:
  US10/648,433
• Time in Patent Office: 1,870 Days
• Field of Search: 715/853, 715/854, 715/751, 715/769, 715762-765, 715/744, 715/708, 715/781, 715/839, 715/855
• US Class Current: 715/839
• CPC Class Codes: G06F 40/20 Natural language analysis semantic analysis of natural language G06F40/30

Abstract

A method of providing precise emotive content in electronic communications. Methods include encoding emotive content comprised of emotive vectors and associated text into electronic communication which is transmitted to receiver computer devices, decoded and parsed to provide emotive content for processing and display. Display includes representing emotive vectors by face glyphs from a graphical set of face glyphs whose character representations are embedded in communications and processed to disambiguate text into intended meaning.

Claims

1. A system for processing emotive vectors comprising;

at least one computing device,

computer memory,

electronic device data communication,

at least one application executing on the device coding emotive vectors, and

the application coding emotive content by preserving emotive vectors with associated text in the electronic communication whereby software instructions stored in memory are under control of the computing device for processing and transmitting emovectors over the electronic communication, each emotive vector comprising an emotive state from a set of feelings and an associated emotive intensity normalized to the author in a given scale with a minimum and maximum intensity, and with associated text embedded in electronic device communications.

2. A system as in claim 1 further comprising the encoding of emotive vectors into standard computing device communication formats.

3. A system as in claim 1 further comprising the encoding of the emotive content into textual communications.

4. A system as in claim 1 further comprising the decoding of emotive content in electronic communications bearing emotive vectors normalized to the communication'"'"'s author.

5. A system as in claim 4 further comprising parsing the emotive content into tokens for presentation and display of face glyph emotive representations with associated textual content on receiver computing device displays.

6. A system as in claim 5 further comprising the tokenizing of the parts of speech of associated text and with the tokenized emotive content synthesizing author'"'"'s intended meaning text strings.

7. A system as in claim 4 further comprising the mapping of emotive intensity numerical value from one or more words, from a pre-defined table of numerical values mapped to words.

8. A system as in claim 1 further comprising the scanning and tokenizing of the embedded emotive content in the communications.

9. A system as in claim 1 further comprising parsing communications containing the emotive content using emotive grammar productions to tokenize the emotive content in textual communications.

10. A method of coding emotive vectors, each emotive vector comprising an emotive state from a set of emotive states and an associated emotive intensity normalized to the author to a given scale with a minimum and maximum intensity, with associated text in electronic communications, comprising the steps of:

reading the emotive vector into a computer memory from an electronic device communication;

decoding by decoupling the emotive vector from text in the communication;

processing emotive vector with the device,

encoding emotive content by preserving emotive vectors with associated text in the electronic communication, and

transmitting the emotive vector to an electronic device via electronic communication.

11. The method in claim 10 further comprising structuring and synthesizing emotive parsers with productions exploiting emotive vectors encoded in textual datastreams.

12. The method in claim 10 further comprising an emotive parser to tokenize emotive vectors into emotive components and emotive components to a set of face glyphs.

13. The method in claim 12 further comprising an emotive natural language parser to extract and tokenize emotive vector tokens decoupled from the associated natural language text into the parts of speech component tokens.

14. The method in claim 13 further comprising concatenating communication tokenized emotive components with grammatical string fragments and strings selected from the associated text into grammatical strings conveying an intended meaning of the communication.

15. The method in claim 14 further comprising said face glyph set based on graphic rendering of reasonably representative emotive states and associated emotive intensities.

16. A computer program residing on a computer-readable media, said computer program communicating emotive content comprising emotive vectors, each emotive vector comprising an emotive state and an associated emotive intensity in a given scale with a minimum and maximum intensity normalized to the author with associated text embedded in electronic device communications, comprising the steps of:

reading and translating the emotive vector from the emotive content into a computer memory from an electronic device medium;

decoding and encoding emotive content by preserving emotive vectors with associated text in the electronic communication and

processing emotive vector with at least one electronic device, and

transmitting the emotive vector to another electronic device.

17. A computer network comprising:

a plurality of computing devices connected by a network;

said computing devices which display graphical and textual output;

applications executing on the devices embedding emotive vectors which are representations of emotive states with associated author normalized emotive intensity;

assembling emotive content by associating emotive vectors with associated text in electronic communication;

encoding emotive content by preserving association of emotive vectors with associated text in the electronic communication;

transmitting the communication with emotive content to one or more receiver computing devices;

parsing communication bearing emotive content; and

mapping emotive vectors to face glyph representations from a set of face glyphs;

Such that communications encoded with emotive content facilitate exchange of precise emotive intelligence.

18. A computer program residing on a computer-readable media, said computer program communicating over a computer network comprising:

a plurality of computing devices connected by a network;

said computing devices which display graphical and textual output;

computer-readable means for applications executing on the devices embedding emotive vectors which are representations of emotive states with associated author normalized emotive intensity;

computer-readable means for assembling emotive content by associating emotive vectors with associated text in electronic communication;

computer-readable means for encoding emotive content by preserving association of emotive vectors with associated text in the electronic communication;

computer-readable means for transmitting the communication with emotive content to one or more receiver computing devices;

computer-readable means for parsing communication bearing emotive content; and

computer-readable means for mapping emotive vectors to face glyph representations from a set of face glyphs; and

computer-readable means for displaying communication of textual with associated face glyph emotive representations on said computing device displays;

whereby communications encoded with emotive content provide means of exchange of precise emotive intelligence.