Identify game dialogue sentiment
using AI
Below is a free classifier to identify game dialogue sentiment. Just input your text, and our AI will predict the sentiment of game dialogue. - 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("game-dialogue-sentiment", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/game-dialogue-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/game-dialogue-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 game dialogue..
This pretrained text model uses a Nyckel-created dataset and has 20 labels, including Angry, Anxious, Bored, Calm, Confident, Curious, Disappointed, Enthusiastic, Excited and Fearful.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the sentiment of game dialogue.).
Whether you're just curious or building game dialogue sentiment detection into your application, we hope our classifier proves helpful.
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