Identify sarcastic headlines
using AI
Below is a free classifier to identify sarcastic headlines. Just input your text, and our AI will predict if it's sarcastic or not - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("sarcastic-headlines-identifier", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/sarcastic-headlines-identifier/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/sarcastic-headlines-identifier/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if it's sarcastic or not.
This pretrained text model uses the Sarcasm Headlines Dataset dataset and has 2 labels, including Sarcastic or Not.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's sarcastic or not).
Whether you're just curious or building sarcastic headlines detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify sarcastic headlines at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- News media: Filter satirical content from serious news. Categorize articles for appropriate sections.
- Social media moderation: Identify potentially misleading posts. Flag content for further review or context labels.
- Advertising: Detect sarcastic tone in competitor headlines. Refine marketing strategies to stand out.
- Content recommendation systems: Personalize news feeds based on user preferences. Tailor content delivery for different audience segments.
- Sentiment analysis: Improve accuracy of opinion mining in headlines. Provide more nuanced insights for brand monitoring.
- Political campaign analysis: Identify satirical coverage of candidates. Gauge public sentiment more accurately.
- SEO optimization: Differentiate between literal and sarcastic keywords. Improve search result relevance for users.