User Sentiment
Does Vapi provides any user sentiment in its end call report? I noticed that there is a detect emotion capability but unsure if it provides any reporting or is it for building logic purposes? #support
V@ivy
Yes, Vapi does offer emotion detection capabilities which can be used to analyze the sentiment of users during a call. This feature can be utilized to understand the emotional context of conversations, which can then be reported or used to inform business logic and improve customer interactions.
If you're looking to integrate emotion detection into your end call reports, you would typically use the emotion detection feature during the call and then collect and store the results. After the call ends, you can generate a report that includes the sentiment analysis data.
For more specific details on how to implement this in your end call reports or if you need assistance with the integration, please ask support for more info on this.
Yes, Vapi does offer emotion detection capabilities which can be used to analyze the sentiment of users during a call. This feature can be utilized to understand the emotional context of conversations, which can then be reported or used to inform business logic and improve customer interactions.
If you're looking to integrate emotion detection into your end call reports, you would typically use the emotion detection feature during the call and then collect and store the results. After the call ends, you can generate a report that includes the sentiment analysis data.
For more specific details on how to implement this in your end call reports or if you need assistance with the integration, please ask support for more info on this.
VYou can continue this conversation by mentioning me in the message.
SYes please, can you please provide specific details on how to implement this in my end call reports
SI would like to have the sentiment analysis data
S@Vapi
V@ivy
To implement sentiment analysis data in your end call reports, you would need to follow these general steps:
To implement sentiment analysis data in your end call reports, you would need to follow these general steps:
- Enable Emotion Detection: Ensure that emotion detection is enabled and configured within your Vapi application. This typically involves setting up the voice API to detect emotions during calls.
- Collect Data: During each call, the emotion detection feature will analyze the conversation in real-time. You'll need to collect and store this sentiment data for each call.
- Post-Call Processing: After the call ends, you can process the collected sentiment data to summarize the overall sentiment of the call or provide more detailed analysis.
- Generate Report: Integrate the sentiment analysis into your reporting system. This could be a part of an automated process where the report is generated with the sentiment data included, or it could be a manual process depending on your setup.
- Review and Action: Use the sentiment analysis data in your end call reports to review customer interactions and take any necessary actions to improve customer experience or service quality.
Show to enable and collect sentiment data using Vapi, or if you require assistance with the technical integration @Vapi
V@ivy
To enable and collect sentiment data using Vapi, you'll need to follow these steps:
To enable and collect sentiment data using Vapi, you'll need to follow these steps:
- Enable Emotion Detection: First, make sure that the emotion detection feature is enabled in your Vapi application settings. This may involve configuring specific parameters or options related to sentiment analysis.
- Modify Your Endpoint: Update the endpoint on your server that Vapi hits to handle emotion detection data. This endpoint should be capable of receiving and processing the sentiment data sent by Vapi during or after the call.
- Collect Sentiment Data: As calls are made, Vapi will analyze the voice interactions and send the sentiment data to your endpoint. Your server should capture this data and store it appropriately, such as in a database or a file system, for later analysis.
- Post-Call Processing: After the call, you can process the stored sentiment data to create a summary or detailed report of the user's sentiment throughout the call.
- Integrate with Reporting: Finally, integrate the sentiment data into your reporting system. This could involve creating a new report that includes sentiment analysis or adding sentiment data to existing reports.
Scan I please get technical assistance please?
D@ivy detecting emotion capability isn't working as we expected it out to be. TLDR: user sentiment capability is not available.
Sthanks Shubham
IHi @Shubham Bajaj could please provide an update on this? When can we expect emotion detection or sentiment analysis? is there a planned timeline for this?
and 2nd question, if not available in the short term, could you recommend which service to integrate myself? Thanks!
and 2nd question, if not available in the short term, could you recommend which service to integrate myself? Thanks!
VWe apologize for the delay in responses lately. We are in process of making some changes to our workflow in how we handle support requests. The good news is that we are starting to get back on track of having a 48 hour response time and we would like to start cleaning up anything old. With that being said, just wanted to check in with you to see if you have made any progress or changes to your project since support has last reached out.
