Sentiment management system

1. A method of managing customer sentiment, the method comprising:

selecting a customer from a plurality of customers, the customer having an influence over a desired industry;

monitoring an interaction of the customer with customer interactive media;

deriving sentiment of the customer from the interaction of the customer with the customer interactive media;

determining a confidence level of the derived sentiment of the customer, wherein the confidence level indicates an accuracy of the derived sentiment;

allowing for manual review and assignment of the derived sentiment;

generating sentiment data for the customer using the sentiment;

updating customer data in a customer database with the sentiment data;

weighting the sentiment data associated with the customer having the influence more highly than other sentiment data for other customers;

generating a predictive model for customer service based upon the sentiment data, the predictive model being configured to suggest possible actions to be taken for the customer; and

incorporating the predictive model into the generated sentiment data;

wherein based on a negative derived sentiment from the sentiment data, the predictive model comprises one or more actions to improve the sentiment of the customer.

2. The method of claim 1 , further comprising:

receiving a request for registering information about the customer interactive media; and

storing the information about the customer interactive media in the customer database.

3. The method of claim 2 , wherein the information about the customer interactive media is at least one selected from a customer interactive media address, username, email address, and phone number.

4. The method of claim 1 , further comprising:

verifying an identity of the customer based upon customer data stored in a customer database.

5. The method of claim 4 , wherein verifying the identity of the customer includes determining profile information of the customer in the customer interactive media that matches with the customer data in the customer database.

6. The method of claim 1 , wherein the customer interactive media includes social media and customer service centers.

7. The method of claim 1 , wherein the interaction of the customer with the customer interactive media includes at least one social media post generated by the customer on a social media.

8. The method of claim 7 , wherein monitoring the interaction of the customer with the social media includes detecting the social media post relevant to a predetermined service provided for the customer.

9. The method of claim 1 , wherein monitoring the interaction of the customer with the customer interactive media includes determining the customer's interaction that matches a predetermined search parameter.

10. The method of claim 1 , further comprising:

receiving a request of an operator for retrieving the customer data from the customer database; and

displaying the customer data including the sentiment data to the operator.

11. The method of claim 1 , further comprising:

generating an alert to an operator, the alert including information about the sentiment data for the customer in real-time.

12. A system for managing customer sentiment for customer service, the system comprising:

a processing device configured to control a sentiment analysis engine;

a customer database configured to store customer data; and

a computer readable storage device storing software instructions that, when executed by the processing device, cause the sentiment analysis engine to:

select a customer, the customer being influential in a specific industry;

monitor an interaction of a customer with customer interactive media;

derive a derived sentiment of the customer from the interaction of the customer with the customer interactive media;

determine a confidence level of the derived sentiment of the customer, wherein the confidence level indicates an accuracy of the derived sentiment;

allow for manual review and assignment of the derived sentiment;

generate sentiment data for the customer using the derived sentiment;

weight the sentiment data for the customer more highly than other sentiment data for other customers;

update customer data in the customer database with the sentiment data;

generate a predictive model for customer service based upon the sentiment data, the predictive model being configured to suggest possible actions that can be taken for the customer, wherein, based on a negative derived sentiment from the sentiment data, the predictive model comprises one or more actions to improve the derived sentiment of the customer;

incorporate the predictive model into the generated sentiment data;

receive a request to retrieve the customer data upon the customer visiting a place of business; and

display the customer data to a service employee so that the service employee can take the one or more actions when interacting with the customer at the place of business.

13. The method of claim 1 , further comprising:

receiving a request to retrieve the updated customer data; and

displaying the updated customer data.

14. The system of claim 12 , wherein the software instructions further cause the sentiment analysis engine to:

receive a request for registering information about the customer interactive media; and

store the information about the customer interactive media in the customer database.

15. The system of claim 12 , wherein the software instructions further cause the sentiment analysis engine to:

verify an identity of the customer based upon customer data stored in a customer database.

16. The system of claim 12 , wherein the software instructions further cause the sentiment analysis engine to:

detect a customer interactive media post generated by the customer and relevant to a predetermined service provided for the customer.

17. The system of claim 12 , wherein the software instructions further cause the sentiment analysis engine to:

receive a request of an operator for retrieving the customer data from the customer database; and

display the customer data including the sentiment data to the operator.

18. The system of claim 12 , wherein the software instructions further cause the sentiment analysis engine to:

generate an alert to a business operator, the alert including information about the sentiment data for the customer in real-time.