System and method to minimally reduce characters in character limiting scenarios

• US 10,210,147 B2
• Filed: 09/07/2016
• Issued: 02/19/2019
• Est. Priority Date: 09/07/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: DeLuca, Lisa Seacat, Price, Dana L., Quirk, Aaron J.
• Primary Examiner(s): Baderman, Scott T
• Assistant Examiner(s): Smith, Benjamin
• Application Number:
  US15/258,250
• Publication Number:
  US 20180067912A1
• Time in Patent Office: 895 Days
• CPC Class Codes: G06F 16/345 Summarisation for human users
• CPC Class Codes: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G06F 40/166 Editing, e.g. inserting or deleting
• CPC Class Codes: G06F 40/258 Heading extraction; Automatic titling; Numbering
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Approaches presented herein enable reduction of characters in a character-limited scenario by minimally editing a text to remain within a character limit while maintaining a tone of a user'"'"'s writing. More specifically, as a user enters text into a character-limited field, character reduction opportunities for shortening words or phrases are identified in the text. These identified opportunities for shortening words or phrases are compared with a historical writing tone profile of the user in order to preserve a tone and style of the user. Words or phrases that are presented and implemented to shorten the text entered by the user are only sufficient to bring a character count of the entered text within the character limit of the character-limited field. Once the text is within the character limit, no further character reduction is applied.

Claims

1. A computer-implemented method for minimally reducing text characters in a field having a character limit, the computer-implemented method comprising:

receiving, by a computer, text, comprising a plurality of textual characters and having a character count, in the field having the character limit;

analyzing, by the computer, the text for an emotional tone and a social tendencies tone, the analysis comprising;

applying a machine learning algorithm that classifies a set of emotion categories to the text to produce an emotional tone score, and testing the text against a social tone databank to produce a social tone score;

identifying, by the computer, a set of character reduction opportunities in the text, each character reduction opportunity of the set of character reduction opportunities comprising a plurality of characters that can be rewritten as a reduced set of characters;

analyzing, by the computer, each reduced set of characters of each character reduction opportunity for conformity with a writing tone profile of a user, the writing tone profile of the user comprising an ordered priority of character reduction techniques;

creating, by the computer connected to a character reduction database, based on the analyzed conformity with the writing tone profile of the user, a plurality of character-reduced texts from the received text using at least one analyzed reduced set of characters in each of the plurality of character-reduced texts, wherein the creating comprises matching an emotional tone or a social tendency tone of the received text in at least one of the plurality of character-reduced texts, wherein the plurality of character-reduced texts each incorporated only a sufficient set of reduced sets of characters that, when traded for a corresponding plurality of characters of the set of character reduction opportunities, brings the character count of the text to within the character limit, and wherein the set of character reduction opportunities in the text are identified and applied to the plurality of character-reduced texts according to the ordered priority;

analyzing each of the plurality of character-reduced texts for an emotional tone and a social tendencies tone, the analysis comprising;

applying a machine learning algorithm that classifies a set of emotion categories to the character-reduced text to produce a character-reduced text emotional tone score, and testing the character-reduced text against a social tone databank to produce a character-reduced text social tone score;

presenting, by a user interface, the plurality of character-reduced texts to the user to bring the character count of the text to within the character limit, the presenting comprising displaying a comparison of the emotional and social tone scores associated with the received text against the emotional and social tone scores associated with each character-reduced text of the plurality of character-reduced texts;

receiving, by the computer, a selection by the user of one character-reduced text of the plurality of character-reduced texts;

replacing, by the computer, the text with the selected character-reduced text;

submitting, by the computer, the character-reduced text; and

adding the character-reduced text selection by the user to the writing tone profile of the user.

2. The computer-implemented method of claim 1, the replacing the text further comprising modifying the text by trading the corresponding plurality of characters of the set of character reduction opportunities with the sufficient set of reduced sets of characters.

3. The computer-implemented method of claim 1, the plurality of character-reduced texts comprising a plurality of sufficient sets of reduced sets of characters forming a plurality of minimal character reduction options.

4. The computer-implemented method of claim 1, the method further comprising:

categorizing the selection from the user as a type of character reduction technique;

storing the categorized selection as historical data; and

assigning the type of character reduction technique a priority in the writing tone profile of the user.

5. The computer-implemented method of claim 1, the creating the plurality of character-reduced texts based on the analyzed conformity with the writing tone profile of the user comprising maintaining a writing style tone of the received text in at least one of the plurality of character-reduced texts.

6. The computer-implemented method of claim 1, the character reduction techniques comprising at least one technique selected from the group comprising:

abbreviations, acronyms, nicknames, space removal, descriptive modifier removal, descriptive modifier replacement, short date formatting, and vowel removal.

7. The computer-implemented method of claim 1, the method further comprising:

detecting a tone change in a character-reducing text of the plurality of character-reduced texts based on the tone profile of the user, the tone change being a change in an emotional tone, a change in a social tendency tone, or a change in a writing style tone; and

notifying the user of the tone change.

8. The computer-implemented method of claim 1, the method further comprising:

comparing the character count of the text to the character limit of the field while the user is entering the text into the field; and

performing the identifying, analyzing, creating, presenting, receiving, and replacing in response to the character count being greater than the character limit.

9. A computer system for minimally reducing text characters in a field having a character limit, the computer system comprising:

a memory medium comprising program instructions;

a bus coupled to the memory medium; and

a processor, for executing the program instructions, coupled to a minimal character reduction engine via the bus that when executing the program instructions causes the system to;

receive text, comprising a plurality of textual characters and having a character count, in the field having the character limit;

analyze the text for an emotional tone and a social tendencies tone by causing the system to apply a machine learning algorithm that classifies a set of emotion categories to the text to produce an emotional tone score, and to test the text against a social tone databank to produce a social tone score;

identify a set of character reduction opportunities in the text, each character reduction opportunity of the set of character reduction opportunities comprising a plurality of characters that can be rewritten as a reduced set of characters;

analyze each reduced set of characters of each character reduction opportunity for conformity with a writing tone profile of a user, the writing tone profile of the user comprising an ordered priority of character reduction techniques;

create, based on the analyzed conformity with the writing tone profile of the user, a plurality of character-reduced texts from the received text using at least one analyzed reduced set of characters in each of the plurality of character-reduced texts, the creating comprising maintaining an emotional tone or a social tendency tone of the received text in at least one of the plurality of character-reduced texts, the plurality of character-reduced texts each incorporating only a sufficient set of reduced sets of characters that, when traded for a corresponding plurality of characters of the set of character reduction opportunities, brings the character count of the text to within the character limit, and the set of character reduction opportunities in the text being identified and applied to the plurality of character-reduced texts according to the ordered priority;

analyze each of the plurality of character-reduced texts for an emotional tone and a social tendencies tone by causing the system to apply a machine learning algorithm that classifies a set of emotion categories to the character-reduced text to produce a character-reduced text emotional tone score, and to test the character-reduced text against a social tone databank to produce a character-reduced text social tone score;

present the plurality of character-reduced texts to the user to bring the character count of the text to within the character limit, the presenting comprising displaying a comparison of the emotional and social tone scores associated with the received text against the emotional and social tone scores associated with each character-reduced text of the plurality of character-reduced texts;

receive a selection by the user of one character-reduced text of the plurality of character-reduced texts;

replace the text with the selected character-reduced text;

submit the character-reduced text; and

adding the character-reduced text selection by the user to the writing tone profile of the user.

10. The computer system of claim 9, the instructions further causing the system to modify the text by trading the corresponding plurality of characters of the set of character reduction opportunities with the sufficient set of reduced sets of characters.

11. The computer system of claim 9, the plurality of character-reduced texts comprising a plurality of sufficient sets of reduced sets of characters forming a plurality of minimal character reduction options.

12. The computer system of claim 9, the instructions further causing the system to:

categorize the selection from the user as a type of character reduction technique;

store the categorized selection as historical data; and

assign the type of character reduction technique a priority in the writing tone profile of the user.

13. The computer system of claim 9, the instructions further causing the system to maintain a writing style tone of the received text in at least one of the plurality of character-reduced texts.

14. The computer system of claim 9, the character reduction techniques comprising at least one technique selected from the group comprising:

abbreviations, acronyms, nicknames, space removal, descriptive modifier removal, descriptive modifier replacement, short date formatting, and vowel removal.

15. The computer system of claim 9, the instructions further causing the system to:

detect a tone change in a character-reducing text of the plurality of character-reduced texts based on the tone profile of the user, the tone change being a change in an emotional tone, a change in a social tendency tone, or a change in a writing style tone; and

notify the user of the tone change.

16. The computer system of claim 9, the instructions further causing the system to:

compare the character count of the text to the character limit of the field while the user is entering the text into the field; and

perform the instructions causing the system to identify, analyze, create, present, receive, and replace in response to the character count being greater than the character limit.

17. A computer program product for minimally reducing text characters in a field having a character limit, the computer program product comprising a computer readable storage device, and program instructions stored on the computer readable storage device, to:

receive text, comprising a plurality of textual characters and having a character count, in the field having the character limit;

analyze the text for an emotional tone and a social tendencies tone, by;

applying a machine learning algorithm that classifies a set of emotion categories to the text to produce an emotional tone score, and testing the text against a social tone databank to produce a social tone score;

identify a set of character reduction opportunities in the text, each character reduction opportunity of the set of character reduction opportunities comprising a plurality of characters that can be rewritten as a reduced set of characters;

analyze each reduced set of characters of each character reduction opportunity for conformity with a writing tone profile of a user, the writing tone profile of the user comprising an ordered priority of character reduction techniques;

create, based on the analyzed conformity with the writing tone profile of the user, a plurality of character-reduced texts from the received text using at least one analyzed reduced set of characters in each of the plurality of character-reduced texts, the creating comprising matching an emotional tone or a social tendency tone of the received text in at least one of the plurality of character-reduced texts, the plurality of character-reduced texts each incorporating only a sufficient set of reduced sets of characters that, when traded for a corresponding plurality of characters of the set of character reduction opportunities, brings the character count of the text to within the character limit, and the set of character reduction opportunities in the text being identified and applied to the plurality of character-reduced texts according to the ordered priority;

analyze each of the plurality of character-reduced texts for an emotional tone and a social tendencies tone by;

applying a machine learning algorithm that classifies a set of emotion categories to the character-reduced text to produce a character-reduced text emotional tone score, and testing the character-reduced text against a social tone databank to produce a character-reduced text social tone score;

present the plurality of character-reduced texts to the user to bring the character count of the text to within the character limit, the presenting comprising displaying a comparison of the emotional and social tone scores associated with the received text against the emotional and social tone scores associated with each character-reduced text of the plurality of character-reduced texts;

receive a selection by the user of one character-reduced text of the plurality of character-reduced texts;

replace the text with the selected character-reduced text;

submit the character-reduced text; and

adding the character-reduced text selection by the user to the writing tone profile of the user.

18. The computer program product of claim 17, the computer readable storage device further comprising instructions to modify the text by trading the corresponding plurality of characters of the set of character reduction opportunities with the sufficient set of reduced sets of characters.

19. The computer program product of claim 17, the computer readable storage device further comprising instructions to:

categorize the selection from the user as a type of character reduction technique;

store the categorized selection as historical data; and

assign the type of character reduction technique a priority in the writing tone profile of the user.

20. The computer program product of claim 17, the computer readable storage device further comprising instructions to:

detect a tone change in a character-reducing text of the plurality of character-reduced texts based on the tone profile of the user, the tone change being a change in an emotional tone, a change in a social tendency tone, or a change in a writing style tone; and

notify the user of the tone change.