Identify if username is in text
using AI
Below is a free classifier to identify if username is in text. Just input your text, and our AI will predict if the username is mentioned - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-username-is-in-text", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-username-is-in-text/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-username-is-in-text/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if the username is mentioned.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Username Not Present and Username Present.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the username is mentioned).
Whether you're just curious or building if username is in text detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if username is in text at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- User Engagement Analysis: By identifying mentions of usernames in customer feedback and social media posts, businesses can gauge user engagement and sentiment. This information can guide marketing strategies and enhance customer relationship management.
- Brand Monitoring: Companies can track mentions of their staff or brand ambassadors across various platforms. This allows for real-time monitoring of brand reputation and helps in managing public relations effectively.
- Personalized Marketing: By recognizing usernames in email campaigns or online interactions, marketers can tailor content to specific users, increasing the chances of conversion. This personalized approach enhances user experience and fosters customer loyalty.
- Fraud Detection: Financial institutions can analyze transaction descriptions or reported issues that include usernames to identify potentially fraudulent activities. This can help in quick responses to suspicious behaviors, ensuring enhanced security for users.
- User Support Analysis: Customer service teams can scan support tickets and communication logs for usernames. This can streamline the resolution process by providing context about prior interactions or ongoing issues linked to specific users.
- Content Moderation: Online platforms can implement the username detection feature to detect instances of harassment, trolling, or impersonation in user-generated content. This helps maintain a safe and respectful community environment by facilitating quick moderation actions.
- Community Engagement Tracking: Platforms hosting forums or community discussions can leverage this function to measure user participation levels by counting username mentions. This data can be used to improve engagement strategies and foster a more active online community.