Identify if text message includes link
using AI
Below is a free classifier to identify if text message includes link. Just input your text, and our AI will predict if the text message includes a link - in just seconds.
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-text-message-includes-link", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-text-message-includes-link/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/if-text-message-includes-link/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if the text message includes a link.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Contains Link and No Link.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the text message includes a link).
Whether you're just curious or building if text message includes link detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if text message includes link at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Spam Detection: This use case involves filtering out unwanted or potentially harmful messages that contain links. By identifying messages with links, businesses can prevent users from clicking on malicious sites or being exposed to spam, enhancing overall security.
- Content Moderation: Social media platforms can implement this text classification function to identify and review user-generated content that contains links. This helps moderators quickly assess whether links lead to appropriate or inappropriate content, maintaining a safe user environment.
- Customer Support Automation: Companies can utilize this function in chatbots to prioritize messages with links for further human intervention. By flagging these messages, support teams can ensure that users seeking assistance with external resources receive timely and accurate help.
- Phishing Detection: Financial institutions can deploy this system to scan customer communications for links that might indicate phishing attempts. Detecting such messages enables proactive security measures to protect customers from potential fraud.
- Marketing Campaign Evaluation: Marketers can use this function to analyze customer engagement in response to campaigns that include links. By tracking messages containing links, businesses can assess the effectiveness of their promotions based on user interactions with those links.
- Link Tracking in Analytics: Organizations can leverage this feature to monitor messages that include links for analytics purposes. Understanding the traffic generated by different links in customer communications provides valuable insights into user behavior and campaign performance.
- Compliance Monitoring: Companies in regulated industries can use this classification to ensure that all communications adhere to legal standards regarding link sharing. By monitoring messages for links, organizations can uphold compliance and safeguard against regulatory violations.