Adjusting text in message in light of recipients interests and/or personality traits to sustain recipient's interest in message
View Patent ↗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).
1. A method for adjusting text in a message to sustain recipient's interest in the message, the method comprising:
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, by a processor, 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 method 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 method 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 method 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 method 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 method as recited in claim 1 , wherein said recommended changes are shown in a proximity map format.
7. The method 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 method 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 method as recited in claim 1 , wherein said recommended changes are shown in a heat map format.
10. The method as recited in claim 1 further comprising:
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.