Adjusting text in message in light of recipients interests and/or personality traits to sustain recipient's interest in message

• US 10,268,682 B2
• Filed: 04/02/2014
• Issued: 04/23/2019
• Est. Priority Date: 04/02/2014
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Chakra, Al, Harpur, Liam, Rice, John
• Primary Examiner(s): Jackson, Jakieda R
• Application Number:
  US14/243,726
• Publication Number:
  US 20150286617A1
• Time in Patent Office: 1,847 Days
• Field of Search: 704 9
• CPC Class Codes: G06F 40/253 Grammatical analysis; Style critique
• CPC Class Codes: G06F 40/40 Processing or translation of natural language natural language analysis G06F40/20; semantic analysis G06F40/30
• CPC Class Codes: G06F 40/56 Natural language generation

Abstract

A method, system and computer program product for adjusting text in a message to sustain the recipient'"'"'s interest in the message. Upon identifying the recipients to receive a message, information, including interests and/or personality traits, regarding the identified recipients is retrieved. Upon obtaining the recipient'"'"'s interests and/or personality traits, a linguistic engine is utilized to generate words and phrases (e.g., speed, parking, license, toll) associated with the recipient'"'"'s interest and/or personality trait (e.g., interest in cars). The words and ordering of the words in the message are then changed to include words and phrases associated with the interest and/or personality trait of the recipient. In this manner, the author is able to compose a message that sustains the recipient'"'"'s interest in the message by modifying the message to include language directed to the recipient'"'"'s interests (e.g., traveling, collecting baseball cards) and/or personality traits (e.g., hates loud music).

Claims

1. A computer program product for adjusting text in a message to sustain recipient'"'"'s interest in the message, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code comprising the programming instructions for:

receiving a message for one or more recipients by a message analyzer connected to a network;

identifying said one or more recipients to receive said message;

retrieving, by said message analyzer, information regarding said identified one or more recipients from one or more company profile pages, one or more social media websites or a database, wherein said information comprises interests and/or personality traits of said identified one or more recipients;

utilizing, by said message analyzer, a linguistic engine to generate words and phrases associated with an interest and/or personality trait of a first recipient of said identified one or more recipients, wherein said linguistic engine utilizes a database of words and/or phrases associated with interests and/or personality traits;

utilizing natural language processing to change words and ordering of words in said message to include words and phrases associated with said interest and/or personality trait of said first recipient of said identified one or more recipients to generate a modified message;

evaluating said modified message by generating a score based on proximity of said words and phrases associated with said interest and/or personality trait of said first recipient to negative and positive words;

utilizing natural language processing to further change words and ordering of words in said modified message to include different words and phrases associated with said interest and/or personality trait of said first recipient so as to improve said score;

displaying said modified message with words and phrases associated with said interest and/or personality trait of said first recipient to highlight recommended changes;

receiving acceptances and/or rejections to said recommended changes from an author of said modified message; and

sending said modified message to said first recipient after said author accepts and/or rejects said recommended changes thereby improving the technology in electronic communications by sustaining the recipient'"'"'s interest in reading electronic messages.

2. The computer program product as recited in claim 1, wherein said one or more recipients to receive said message are identified based on keywords in said message.

3. The computer program product as recited in claim 1, wherein said one or more recipients to receive said message are identified based on users listed after the “

TO”

field in said message.

4. The computer program product as recited in claim 1, wherein said author informs said message analyzer regarding who are said one or more recipients to receive said message.

5. The computer program product as recited in claim 1, wherein said interests and/or personality traits of said identified one or more recipients are obtained from said one or more company profile pages using natural language processing.

6. The computer program product as recited in claim 1, wherein said recommended changes are shown in a proximity map format.

7. The computer program product as recited in claim 1, wherein said interests and/or personality traits of said identified one or more recipients are obtained from said one or more social media websites using natural language processing.

8. The computer program product as recited in claim 1, wherein said modification of said message comprises adjusting paragraph layouts/margins, scaling or moving paragraphs/sentences, and/or replacing parts of speech with a synonym which has a more positive or negative tone.

9. The computer program product as recited in claim 1, wherein said recommended changes are shown in a heat map format.

10. The computer program product as recited in claim 1, wherein the program code further comprises the programming instructions for:

modifying said modified message in response to said author rejecting one or more of said recommended changes and/or in response to said author modifying text of said modified message.

11. A message analyzer, comprising:

a memory for storing a computer program for adjusting text in a message to sustain recipient'"'"'s interest in the message; and

a processor coupled to the memory, wherein the processor is configured to execute the program instructions of the computer program comprising;

receiving a message for one or more recipients by said message analyzer connected to a network;

identifying said one or more recipients to receive said message;

retrieving, by said message analyzer, information regarding said identified one or more recipients from one or more company profile pages, one or more social media websites or a database, wherein said information comprises interests and/or personality traits of said identified one or more recipients;

utilizing, by said message analyzer, a linguistic engine to generate words and phrases associated with an interest and/or personality trait of a first recipient of said identified one or more recipients, wherein said linguistic engine utilizes a database of words and/or phrases associated with interests and/or personality traits;

utilizing natural language processing to change words and ordering of words in said message to include words and phrases associated with said interest and/or personality trait of said first recipient of said identified one or more recipients to generate a modified message;

evaluating said modified message by generating a score based on proximity of said words and phrases associated with said interest and/or personality trait of said first recipient to negative and positive words;

utilizing natural language processing to further change words and ordering of words in said modified message to include different words and phrases associated with said interest and/or personality trait of said first recipient so as to improve said score;

displaying said modified message with words and phrases associated with said interest and/or personality trait of said first recipient to highlight recommended changes;

receiving acceptances and/or rejections to said recommended changes from an author of said modified message; and

sending said modified message to said first recipient after said author accepts and/or rejects said recommended changes thereby improving the technology in electronic communications by sustaining the recipient'"'"'s interest in reading electronic messages.

12. The message analyzer as recited in claim 11, wherein said one or more recipients to receive said message are identified based on keywords in said message.

13. The message analyzer as recited in claim 11, wherein said one or more recipients to receive said message are identified based on users listed after the “

TO”

field in said message.

14. The message analyzer as recited in claim 11, wherein said author informs said message analyzer regarding who are said one or more recipients to receive said message.

15. The message analyzer as recited in claim 11, wherein said interests and/or personality traits of said identified one or more recipients are obtained from said one or more company profile pages using natural language processing.

16. The message analyzer as recited in claim 11, wherein said recommended changes are shown in a proximity map format.

17. The message analyzer as recited in claim 11, wherein said interests and/or personality traits of said identified one or more recipients are obtained from said one or more social media websites using natural language processing.

18. The message analyzer as recited in claim 11, wherein said modification of said message comprises adjusting paragraph layouts/margins, scaling or moving paragraphs/sentences, and/or replacing parts of speech with a synonym which has a more positive or negative tone.

19. The message analyzer as recited in claim 11, wherein said recommended changes are shown in a heat map format.

20. The message analyzer as recited in claim 11, wherein the program instructions of the computer program further comprise:

modifying said modified message in response to said author rejecting one or more of said recommended changes and/or in response to said author modifying text of said modified message.