Identify if username is in a text message
using AI
Below is a free classifier to identify if username is in a text message. 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-a-text-message", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-username-is-in-a-text-message/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-a-text-message/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 Absent 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 a text message detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if username is in a text message at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- User Attention Monitoring: This use case involves analyzing text messages to identify if specific usernames are mentioned, allowing businesses to understand which users are being referenced in communications. This can help in tracking user sentiment and engagement related to particular individuals within a messaging platform.
- Customer Support Optimization: In a customer support context, this function can identify messages that mention support representatives by username. This allows businesses to streamline follow-ups and ensure that conversations are appropriately directed to the correct team members for resolution.
- Brand Monitoring: Companies can utilize this text classification function to track when their brand ambassadors or influencers are mentioned in customer messages. This aids in assessing brand reputation and the effectiveness of influencer partnerships across social media or direct messaging platforms.
- Social Media Engagement Analysis: Businesses can leverage this function to monitor social media conversations mentioning their staff or customers, enabling deeper insights into engagement levels. This data can inform marketing strategies and highlight popular topics or key influencers within their audience.
- Content Personalization: This function can enhance personalized marketing efforts by identifying users mentioned in customer interactions. Marketing teams can use this data to tailor messages and promotions based on specific user preferences or behaviors that arise from the text interactions.
- Compliance and Risk Management: Organizations can employ this identifier to ensure compliance by monitoring text messages for mentions of team members to prevent inappropriate communications. This could help mitigate risks associated with harassment or breaches of company policies.
- Internal Communication Analysis: Within an organization, this function can analyze messages for references to usernames, helping HR or management to assess team dynamics and communication flow. This analysis can lead to improved team collaboration strategies and identifying potential areas of conflict or misunderstanding.