Identify group discussion sentiment
using AI
Below is a free classifier to identify group discussion sentiment. Just input your text, and our AI will predict the sentiment of each participant in the group discussion - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("group-discussion-sentiment", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/group-discussion-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/group-discussion-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 each participant in the group discussion.
This pretrained text model uses a Nyckel-created dataset and has 20 labels, including Appreciative, Constructive, Critical, Destructive, Disappointed, Dismissive, Engaged, Enthusiastic, Frustrated and Indifferent.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the sentiment of each participant in the group discussion).
Whether you're just curious or building group discussion sentiment detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify group discussion sentiment at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Feedback Analysis: The 'group discussion sentiment' identifier can be employed to analyze customer feedback from group discussions, online forums, or social media. This allows businesses to gauge customer sentiment, identify common pain points, and make informed decisions to enhance their products or services.
- Employee Engagement Assessment: Organizations can utilize this sentiment analysis tool to assess employee discussions in team meetings or internal chat channels. By understanding overall sentiment, management can pinpoint areas for improvement in team dynamics and bolster employee morale.
- Market Research Insights: Market researchers can apply the sentiment identifier to analyze group discussions around competitors or industry trends. This provides valuable insights into public perception and can help shape marketing strategies and business decisions.
- Brand Reputation Management: Companies can monitor and evaluate sentiment from group discussions that mention their brand. This enables them to proactively address negative sentiments and reinforce positive perceptions, ultimately protecting their brand reputation.
- Product Development Feedback Loop: The identifier can be used to analyze group discussions related to product features or prototypes. This helps companies understand user preferences and pain points, facilitating a more targeted product development process.
- Crisis Management Monitoring: During a crisis, businesses can use the sentiment analysis tool to monitor group discussions to understand public reactions and sentiment shifts in real-time. This allows for timely and effective communication strategies to manage the situation.
- Social Media Campaign Effectiveness: Marketing teams can leverage the sentiment identifier to evaluate the sentiment of group discussions around their social media campaigns. This analysis provides insights into audience reactions, helping to adjust strategies for better engagement and outreach.