Identify emotional intensity level
using AI
Below is a free classifier to identify emotional intensity level. Just input your text, and our AI will predict the emotional intensity level of the text - in just seconds.
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("emotional-intensity-level", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/emotional-intensity-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/emotional-intensity-level/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the emotional intensity level of the text.
This pretrained text model uses a Nyckel-created dataset and has 7 labels, including High, Low, Medium, Medium High, Medium Low, Very High and Very Low.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the emotional intensity level of the text).
Whether you're just curious or building emotional intensity level detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify emotional intensity level at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Sentiment Analysis: Companies can use the emotional intensity level identifier to gauge customer feelings towards their products or services. By analyzing feedback from reviews, social media, and surveys, businesses can identify varying levels of customer satisfaction and address issues proactively.
- Content Personalization: Media organizations can utilize the emotional intensity level identifier to enhance user engagement through personalized content delivery. By understanding the emotional intensity of users' past interactions, businesses can tailor recommendations that resonate more strongly with their audience.
- Market Research: Businesses can apply the emotional intensity level identifier during focus groups or surveys to quantify consumer emotions associated with new products or campaigns. This data can guide marketing strategies and product development by highlighting which features elicit strong emotional responses.
- Mental Health Monitoring: Healthcare providers can leverage the emotional intensity level identifier in telehealth platforms to monitor patients' emotional states over time. By tracking variations in emotional intensity, clinicians can better assess treatment efficacy and adjust care plans accordingly.
- Social Media Monitoring: Organizations can deploy the emotional intensity level identifier to monitor public sentiment and identify potential PR crises in real time. This tool can help in understanding the emotional landscape surrounding a brand and allow quick reactions to emerging issues.
- Employee Feedback Analysis: Human resources can implement the emotional intensity level identifier to analyze employee feedback from surveys and performance reviews. Understanding the emotional undertones in employee sentiments can lead to improved workplace culture and targeted interventions to boost morale.
- Brand Loyalty Assessment: Companies can utilize the emotional intensity level identifier to evaluate brand loyalty by analyzing customer interactions and comments. Recognizing the emotional attachment (or detachment) customers have to a brand can inform loyalty programs and retention strategies.