Identify if text message requires info
using AI
Below is a free classifier to identify if text message requires info. Just input your text, and our AI will predict if the text message requires information - 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-requires-info", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-text-message-requires-info/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-requires-info/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 requires information.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Complete and Info Needed.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the text message requires information).
Whether you're just curious or building if text message requires info detection into your application, we hope our classifier proves helpful.
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Need to identify if text message requires info at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Support Automation: This use case involves using the text classification function to identify customer inquiries that require additional information from support teams. By automating the response process, chatbots can efficiently escalate messages that lack sufficient details, reducing response time and improving customer satisfaction.
- Sales Lead Qualification: In this scenario, the classification function can filter incoming sales messages based on whether they require additional information to qualify as a lead. Sales teams can prioritize their follow-ups, focusing on inquiries that are promising and need further elaboration to convert into sales.
- Incident Management in IT Support: Here, the text classification function is applied to categorize tech support requests that need clarification or more details for proper diagnosis. This helps ensure that support engineers address the most complex issues with the right context, thereby improving troubleshooting efficiency.
- Personalized Marketing Campaigns: This use case involves analyzing customer feedback messages to determine if additional information is necessary for personalizing marketing efforts. By identifying gaps in information, marketers can tailor their campaigns effectively, increasing engagement and conversion rates.
- Product Development Feedback Loop: In the product development space, this function can be used to sort through user feedback that requires further details for actionable insights. By pinpointing vague or incomplete suggestions, development teams can engage with users for clarification, leading to more informed product enhancements.
- Legal Document Review: In legal practices, the classification function can assist attorneys in sifting through communication that requires more information to assess the context of a case or inquiry. This streamlines the document review process, ensuring that crucial information is not overlooked before legal actions are taken.
- Fraud Detection in Financial Services: This use case applies the text classification function to flag customer communications that lack necessary details, suggesting potential fraud or suspicious activity. By identifying these messages early, financial institutions can investigate further and take preventive measures to protect their clients and assets.