Biometric-based sentiment management in a social networking environment

1. A computer-implemented method for biometric-based sentiment management in a social networking environment, the method comprising:

detecting, using a set of biometric sensors, a set of biometric data for an originating-user of an electronic message;

determining, based on the set of biometric data, an originating-user sentiment for at least a portion of the electronic message;

composing the electronic message and the originating-user sentiment for at least the portion of the electronic message, wherein composing the electronic message and the originating-user sentiment comprises:

modifying content of the electronic message to only include the portion of the electronic message associated with the originating-user sentiment, and

establishing the portion of the electronic message and associated sentiment together in a single data package; and

providing, in the social networking environment, the composed message which indicates the originating-user sentiment for at least the portion of the electronic message.

2. The method of claim 1 , further comprising:

analyzing, in a dynamic fashion, the set of biometric data using a biometric analysis technique to determine the originating-user sentiment.

3. The method of claim 2 , further comprising:

attaching, in an automated fashion, a sentiment indicator to the electronic message to compose the message.

4. The method of claim 2 , further comprising:

computing, based on the biometric analysis technique, a confidence score for the originating-user sentiment for at least the portion of the electronic message.

5. The method of claim 3 , further comprising:

introducing, in the automated fashion based on the originating-user sentiment, an emoticon to the composed message.

6. The method of claim 3 , further comprising:

displaying the sentiment indicator in the social networking environment, wherein the sentiment indicator includes a confidence score for the originating-user sentiment for at least the portion of the electronic message.

7. The method of claim 1 , wherein the set of biometric data comprises a heart rate, a blood pressure, a stress score, a pupil dilation, a glucose value, a body temperature, a movement speed, a movement frequency, a set of fingerprint information, a set of facial features, and a set of body language information.

8. The method of claim 1 , further comprising:

analyzing, to determine the originating-user sentiment with respect to the electronic message, the set of biometric data using a machine learning technique configured for the originating-user.

9. The method of claim 1 , further comprising:

analyzing, to determine the originating-user sentiment with respect to the electronic message, the electronic message using a natural language processing technique configured for the originating-user.

10. The method of claim 1 , further comprising:

identifying a trusted relationship between the originating-user and a recipient-user by connecting to a social media network environment and determining that the originating-user and the recipient-user are registered as mutual friends, wherein the trusted relationship indicates the recipient-user is authorized to view the originating-user sentiment.

11. The method of claim 10 , wherein providing, in the social networking environment, the composed message which indicates the originating-user sentiment for at least the portion of the electronic message includes:

transmitting the composed message from the originating-user to a recipient-user.

12. The method of claim 11 , further comprising:

receiving, from the recipient-user, a set of feedback data for the composed message to facilitate a set of future sentiment determinations.

13. The method of claim 11 , further comprising:

receiving a permissible location for the originating-user from the recipient-user;

sensing a current location of the originating-user;

comparing the current location of the originating-user to the permissible location;

receiving an electronic query from the recipient-user to the originating-user in response to ascertaining the current location of the originating-user matches the permissible location; and

comparing the biometric data of the originating-user to the content of the electronic message to determine inconsistencies indicating a truthfulness of the electronic message in advance of determining the originating-user sentiment,

wherein the electronic message constitutes a response by the originating-user to the recipient's query, wherein the set of biometric data indicates a current heart rate which exceeds a heart rate benchmark based on the content of the electronic message, and wherein the electronic message indicates that the originating-user sentiment for the response to the electronic query has an untruthfulness factor which exceeds an untruthfulness threshold.

14. The method of claim 11 , further comprising:

receiving an electronic query from the recipient-user to the originating-user; and

capturing, from the originating-user in response to receiving the electronic query, the electronic message in advance of determining the originating-user sentiment,

wherein a threshold length exceeds an actual length of the electronic message, wherein the electronic message includes a punctuation mark, and wherein the composed message indicates that the originating-user sentiment for a response to the electronic query has a current emotion which exceeds a benchmark emotion by a threshold deviation based on both the actual length of the electronic message and the punctuation mark.

15. The method of claim 11 , further comprising:

assessing, based on both the set of biometric data and a set of semantic elements of the electronic message, the originating-user sentiment; and

presenting, in an automated fashion, a sentiment assessment as part of the composed message when a confidence value for the sentiment assessment exceeds a sentiment confidence value threshold.

16. A computer-implemented method for biometric-based sentiment management in a social networking environment, the method comprising:

detecting a set of biometric data for an originating-user of an electronic message using a set of biometric sensors;

determining an originating-user sentiment for at least a portion of the electronic message based on the set of biometric data;

truncating the electronic message to only include the portion of the electronic message associated with the originating-user sentiment,

bundling the truncated portion of the electronic message and associated originating-user sentiment together in a single data package; and

providing, in the social networking environment, the bundled message which indicates the originating-user sentiment for at least the portion of the electronic message.

17. The method of claim 16 , further comprising:

identifying a trusted relationship between the originating-user and a recipient-user by connecting to a social media network environment and determining that the originating-user and the recipient-user are registered as mutual friends, wherein the trusted relationship indicates the recipient-user is authorized to view the originating-user sentiment.

18. A computer-implemented method for biometric-based sentiment management in a social networking environment, the method comprising:

detecting a set of biometric data for an originating-user of an electronic message using a set of biometric sensors, wherein the set of biometric data comprises a pupil dilation, a glucose value, a body temperature, a set of facial features, and a set of body language information;

determining an originating-user sentiment for a portion of the electronic message based on the set of biometric data;

truncating the electronic message to only include the portion of the electronic message associated with the originating-user sentiment,

bundling the truncated portion of the electronic message and associated sentiment together in a single data package; and

providing, in the social networking environment, the bundled message which indicates the originating-user sentiment for at least the portion of the electronic message.

19. The method of claim 18 , further comprising:

identifying a trusted relationship between the originating-user and a recipient-user by connecting to a social media network environment and determining that the originating-user and the recipient-user are registered as mutual friends, wherein the trusted relationship indicates the recipient-user is authorized to view the originating-user sentiment.