Identify dialogue intensity
using AI
Below is a free classifier to identify dialogue intensity. Just input your text, and our AI will predict the intensity of dialogue in a conversation - in just seconds.
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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("dialogue-intensity", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/dialogue-intensity/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/dialogue-intensity/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the intensity of dialogue in a conversation.
This pretrained text model uses a Nyckel-created dataset and has 16 labels, including Action-Driven, Conversational Flow, Dialogue-Driven, Dynamic Exchanges, Emotionally Charged, Heavy Dialogue, High Intensity, Light Dialogue, Low Intensity and Medium Intensity.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the intensity of dialogue in a conversation).
Whether you're just curious or building dialogue intensity detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify dialogue intensity at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Service Emotion Analysis: This use case involves analyzing customer support interactions to gauge the emotional intensity of customer dialogues. By identifying high-intensity exchanges, businesses can prioritize responses and train support agents to handle sensitive situations more effectively.
- Marketing Campaign Engagement: Marketers can utilize dialogue intensity identification to evaluate feedback on advertisements or campaign materials. By determining which campaigns generate strong emotional reactions, they can refine messaging strategies to enhance engagement and conversion rates.
- Social Media Sentiment Monitoring: Companies can track the intensity of social media dialogues regarding their brand or products. By analyzing intense discussions, they can respond to customer concerns proactively and manage brand reputation more effectively.
- Sentiment-Driven Product Development: Organizations can use dialogue intensity analytics to inform product development decisions by understanding customer reactions to new features or services. This data can reveal which aspects resonate emotionally with users, guiding future iterations.
- Employee Feedback Assessment: HR teams can apply dialogue intensity detection in evaluating employee feedback during performance reviews or surveys. Identifying emotionally charged responses can help pinpoint areas of dissatisfaction and inform targeted improvement initiatives.
- Crisis Management Communication: During a crisis, organizations can utilize dialogue intensity identification to monitor communication channels. By identifying intense responses, they can adapt their messaging strategies in real-time to address concerns and mitigate negative impact.
- Online Community Management: Online communities can implement dialogue intensity analysis to monitor member interactions. High-intensity dialogues can be flagged for moderation, ensuring a healthier discussion environment and fostering a positive community culture.