Identify scene conflict level
using AI
Below is a free classifier to identify scene conflict level. Just input your text, and our AI will predict the level of conflict present in a scene - 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("scene-conflict-level", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/scene-conflict-level/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/scene-conflict-level/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the level of conflict present in a scene.
This pretrained text model uses a Nyckel-created dataset and has 10 labels, including High Tension, Intense Conflict, Low Tension, Mild Conflict, Moderate Tension, No Conflict, Occasional Conflict, Persistent Conflict, Severe Conflict and Temporary Conflict.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the level of conflict present in a scene).
Whether you're just curious or building scene conflict level detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify scene conflict level at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Content Moderation: The "scene conflict level" identifier can be employed by social media platforms to monitor user-generated content. By classifying scenes based on conflict levels, the platform can detect and moderate harmful or inflammatory materials, ensuring a safer online environment for users.
- Video Game Development: Game developers can utilize the identifier to assess the emotional intensity of different game scenes. This allows them to create balanced gameplay by adjusting conflict levels, thereby enhancing player engagement and emotional responses.
- Film and TV Production: Film studios can adopt the conflict level identifier during the editing process to analyze drama scenes and their emotional impact. This can help editors fine-tune narratives, ensuring the pacing and tension levels align with audience expectations and storytelling goals.
- Mental Health Services: Mental health applications can use the conflict level detection feature to tailor content based on users’ emotional states. By avoiding highly conflicted scenes during therapy sessions, the application can foster a healthier mental environment for users.
- Marketing Campaigns: Brands can assess video advertisements using the identifier to gauge emotional engagement and conflict levels. By refining the use of conflict in marketing materials, companies can evoke stronger responses and improve consumer engagement.
- Educational Content: Educational platforms can apply the conflict level identifier to evaluate the emotional intensity of instructional videos. This helps educators understand how conflict might affect student engagement and tailor content accordingly for improved learning outcomes.
- Sentiment Analysis in News: News organizations can implement the conflict level identifier to analyze articles or reports for emotional content. By categorizing news pieces by conflict levels, editors can ensure a balanced presentation of news that engages audiences without promoting unnecessary distress.