Identify meeting minutes sentiment
using AI
Below is a free classifier to identify meeting minutes sentiment. Just input your text, and our AI will predict the sentiment of meeting minutes - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("meeting-minutes-sentiment", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/meeting-minutes-sentiment/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_text_here"}' \
https://www.nyckel.com/v1/functions/meeting-minutes-sentiment/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the sentiment of meeting minutes.
This pretrained text model uses a Nyckel-created dataset and has 15 labels, including Apprehensive, Constructive, Critical, Disappointed, Dismissive, Dissatisfied, Enthusiastic, Hopeful, Negative and Neutral.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the sentiment of meeting minutes).
Whether you're just curious or building meeting minutes sentiment detection into your application, we hope our classifier proves helpful.
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Need to identify meeting minutes sentiment at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Meeting Effectiveness Assessment: By analyzing the sentiment of meeting minutes, organizations can gauge the overall satisfaction of participants and identify areas for improvement. This information helps leaders adjust meeting formats and content to enhance engagement and productivity.
- Action Item Prioritization: The sentiment analysis can highlight the mood surrounding specific discussion topics or action items. By prioritizing items that had a positive context, teams can focus on initiatives that are more likely to garner support and drive momentum.
- Conflict Resolution Monitoring: Organizations can utilize sentiment analysis to detect potential conflicts or dissatisfaction within meetings. By identifying negative sentiments, managers can address issues proactively, fostering a healthier workplace environment.
- Stakeholder Alignment: By evaluating sentiment in meeting minutes, companies can understand how aligned stakeholders are with project goals. This insight helps in making necessary adjustments to align perspectives and improve collaboration.
- Trend Analysis for Team Morale: Over time, sentiment analysis of meeting minutes allows businesses to track trends in team morale and engagement. By identifying sentiment changes, organizations can implement initiatives to boost employee satisfaction and retention.
- Executive Reporting: Sentiment findings can be synthesized into reports for executives, providing them with a clear view of team dynamics and challenges. This allows leadership to make informed decisions and allocate resources effectively.
- Customer Feedback Integration: By comparing meeting minute sentiments with customer feedback, businesses can draw insights about how internal discussions align with customer expectations. This can lead to better product development and service strategies based on a thorough understanding of sentiments both internally and externally.