AI-BASED SENTIMENT DETERMINATION FOR CONTRACT JOB-RELATED USER FEEDBACK
Systems and methods for a feedback analysis system to identify a sentiment associated with user feedback (e.g., notes) and generates a task based on the identified sentiment. Specifically, the feedback analysis system as described herein may receive user feedback corresponding to a contract job and provide the user feedback as input into a large language model to identify a sentiment associated with the user feedback. In response to the user feedback as input, the feedback analysis system may synthesize, based on the identified sentiment of the user feedback, a summarized sentiment, wherein the summarized sentiment indicates a level of satisfaction associated with a performance of the contract job. In some embodiments, the feedback analysis system generates a task based on the user feedback and the summarized sentiment, wherein the task is one of a notification, an alert, an update, or an automated process related to the contract job.
1 . A system, comprising:
a computer-readable storage medium storing program instructions; and
one or more processors configured to execute the program instructions to cause the system to:
receive user feedback corresponding to a contract job, wherein the user feedback includes a text-based comment;
filter the text-based comment to remove a subset of content from the text-based comment;
provide the user feedback as input into a large language model to output a sentiment associated with the user feedback and a sentiment score, wherein the sentiment indicates a level of satisfaction with the contract job;
synthesize, based on the sentiment of the user feedback and additional sentiments associated with the contract job, a summarized sentiment, wherein the summarized sentiment indicates an overall level of satisfaction associated with a performance of the contract job; and
generate a task based on the user feedback and the summarized sentiment.
2 . The system of claim 1 , wherein the task is one of a notification, a message, an alert, an update, an inquiry, or an automated process related to the contract job.
3 . The system of claim 1 , wherein the summarized sentiment is synthesized in response to the user feedback being provided as the input to the large language model.
4 . The system of claim 1 , wherein the sentiment is one of very positive, positive, neutral, negative, or angry.
5 . The system of claim 1 , wherein the user feedback includes a plurality of text-based comments relating to the contract job.
6 . The system of claim 1 , wherein the summarized sentiment indicates a trend or average performance of the contract job over a duration.
7 . The system of claim 1 , wherein the subset of content includes personal information, a job status, content related to a contractor, or a plan for future action.
8 . A method, comprising:
receiving user feedback corresponding to a contract job, wherein the user feedback includes a text-based comment;
filtering the text-based comment to remove a subset of content from the text-based comment;
providing the user feedback as input into a large language model to output a sentiment associated with the user feedback and a sentiment score, wherein the sentiment indicates a level of satisfaction with the contract job;
synthesizing, based on the sentiment of the user feedback and additional sentiments associated with the contract job, a summarized sentiment, wherein the summarized sentiment indicates an overall level of satisfaction associated with a performance of the contract job; and
generating a task based on the user feedback and the summarized sentiment.
9 . The method of claim 8 , wherein the task is one of a notification, a message, an alert, an update, an inquiry, or an automated process related to the contract job.
10 . The method of claim 8 , wherein the summarized sentiment is synthesized in response to the user feedback being provided as the input to the large language model.
11 . The method of claim 8 , wherein the sentiment is one of very positive, positive, neutral, negative, or angry.
12 . The method of claim 8 , wherein the user feedback includes a plurality of text-based comments relating to the contract job.
13 . The method of claim 8 , wherein the summarized sentiment indicates a trend or average performance of the contract job over a duration.
14 . The method of claim 8 , wherein the subset of content includes personal information, a job status, content related to a contractor, or a plan for future action.
15 . One or more non-transitory, computer-readable media storing computer-executable instructions that, when executed by a processor of a computing device, cause the computing device to at least:
receive user feedback corresponding to a contract job, wherein the user feedback includes a text-based comment;
filter the text-based comment to remove a subset of content from the text-based comment;
provide the user feedback as input into a large language model to output a sentiment associated with the user feedback and a sentiment score, wherein the sentiment indicates a level of satisfaction with the contract job;
synthesize, based on the sentiment of the user feedback and additional sentiments associated with the contract job, a summarized sentiment, wherein the summarized sentiment indicates an overall level of satisfaction associated with a performance of the contract job; and
generate a task based on the user feedback and the summarized sentiment.
16 . The one or more non-transitory, computer-readable media of claim 15 , wherein the task is one of a notification, a message, an alert, an update, an inquiry, or an automated process related to the contract job.
17 . The one or more non-transitory, computer-readable media of claim 15 , wherein the summarized sentiment is synthesized in response to the user feedback being provided as the input to the large language model.
18 . The one or more non-transitory, computer-readable media of claim 15 , wherein the sentiment is one of very positive, positive, neutral, negative, or angry.
19 . The one or more non-transitory, computer-readable media of claim 15 , wherein the summarized sentiment indicates a trend or average performance of the contract job over a duration.
20 . The one or more non-transitory, computer-readable media of claim 15 , wherein the subset of content includes personal information, a job status, content related to a contractor, or a plan for future action.