System and method for monitoring a sentiment score
A system and method are disclosed for scoring sentiments of communication activity and includes one or more databases that stores data describing electronic communication between one or more customer devices and one or more service center devices and a computer. The computer is configured to monitor communication activity of the one or more customer devices and the one or more service center devices to determine whether a communication channel has been opened between the one or more customer devices and the one or more service center devices and identify one or more communication activities associated with the electronic communications. The computer is further configured to compare the identified one or more communication activities with one or more predetermined communication data, determine a sentiment score based on one or more correlations between the identified one or more communication activities and the communication data.
1. A system for scoring sentiments of communication activity, comprising:
one or more databases storing one or more service center tickets associated with one or more communication devices; and
a computer, comprising a processor and memory, configured to:
log one or more monitored communication activities in connection with case data;
determine a sentiment score based on one or more correlations between the one or more monitored communication activities and predetermined communication data for at least one of the one or more service center tickets;
identify the predetermined communication data from the one or more monitored communication activities and responsive to identifying the predetermined communication data, assign the sentiment score to the one or more communication devices;
store the sentiment score in the one or more databases; and
use a time-based evaporation period to track the psychological mean reversion of the sentiment score.
2. The system of claim 1 , wherein the one or more communication devices is one or more service center devices or one or more customer devices.
3. The system of claim 1 , wherein the predetermined communication data is one or more of:
adjacent elements from a sequence;
elements of word vectors;
predetermined key words; and
predetermined messages.
4. The system of claim 1 , wherein the computer is further configured to:
identify a case from the case data; and
assign the sentiment score for the case to one or more of:
a user sentiment;
a contact associated with the sentiment;
a company's base sentiment; and
the representative's sentiment.
5. The system of claim 1 , wherein the computer is further configured to:
compare the sentiment score and a satisfactory sentiment score threshold; and
responsive to determining the sentiment score is not satisfactory, initiate a predetermined process to deescalate the sentiment to a satisfactory level.
6. The system of claim 1 , wherein the sentiment score is based at least in part on one or more the following:
an average of all cases of the case data;
a first case of the case data;
a last case of the case data; and
a selected one or more cases of the case data.
7. A computer-implemented method for scoring sentiments of communication activity, comprising:
logging one or more monitored communication activities in connection with case data;
determining a sentiment score based on one or more correlations between the one or more monitored communication activities and predetermined communication data for at least one of one or more service center tickets associated with one or more communication devices;
identifying the predetermined communication data from the one or more monitored communication activities and responsive to identifying the predetermined communication data, assigning the sentiment score to the one or more communication devices;
storing the sentiment score in the one or more databases; and
using a time-based evaporation period to track the psychological mean reversion of the sentiment score.
8. The computer-implemented method of claim 7 , wherein the one or more communication devices is one or more service center devices or one or more customer devices.
9. The computer-implemented method of claim 7 , wherein the predetermined communication data is one or more of:
adjacent elements from a sequence;
elements of word vectors;
predetermined key words; and
predetermined messages.
10. The computer-implemented method of claim 7 , further comprising:
identifying a case from the case data; and
assigning the sentiment score for the case to one or more of:
a user sentiment;
a contact associated with the sentiment;
a company's base sentiment; and
the representative's sentiment.
11. The computer-implemented method of claim 7 , further comprising:
comparing the sentiment score and a satisfactory sentiment score threshold; and
responsive to determining the sentiment score is not satisfactory, initiating a predetermined process to deescalate the sentiment to a satisfactory level.
12. The computer-implemented method of claim 7 , wherein the sentiment score is based at least in part on one or more the following:
an average of all cases of the case data;
a first case of the case data;
a last case of the case data; and
a selected one or more cases of the case data.
13. A non-transitory computer-readable medium comprising software for scoring sentiments of communication activity, the software when executed:
logs one or more monitored communication activities in connection with case data;
determines a sentiment score based on one or more correlations between the one or more monitored communication activities and predetermined communication data for at least one of one or more service center tickets associated with one or more communication devices;
identifies the predetermined communication data from the one or more monitored communication activities and responsive to identifying the predetermined communication data, assigns the sentiment score to the one or more communication devices;
stores the sentiment score in the one or more databases; and
uses a time-based evaporation period to track the psychological mean reversion of the sentiment score.
14. The non-transitory computer-readable medium of claim 13 , wherein the one or more communication devices is one or more service center devices or one or more customer devices.
15. The non-transitory computer-readable medium of claim 13 , wherein the predetermined communication data is one or more of:
adjacent elements from a sequence;
elements of word vectors;
predetermined key words; and
predetermined messages.
16. The non-transitory computer-readable medium of claim 13 , wherein the software when executed further:
identifies a case from the case data; and
assigns the sentiment score for the case to one or more of:
a user sentiment;
a contact associated with the sentiment;
a company's base sentiment; and
the representative's sentiment.
17. The non-transitory computer-readable medium of claim 13 , wherein the software when executed further:
compares the sentiment score and a satisfactory sentiment score threshold; and
responsive to determining the sentiment score is not satisfactory, initiates a predetermined process to deescalate the sentiment to a satisfactory level.