Identify knowledge base article type
using AI
Below is a free classifier to identify knowledge base article type. Just input your text, and our AI will predict what type of knowledge base article it is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("knowledge-base-article-type", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/knowledge-base-article-type/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/knowledge-base-article-type/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict what type of knowledge base article it is.
This pretrained text model uses a Nyckel-created dataset and has 20 labels, including Best Practices, Case Study, Common Issues, Comparison Guide, Faq, Feature Explanation, Glossary, How-To Guide, Installation Guide and Knowledge Base Overview.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of knowledge base article it is).
Whether you're just curious or building knowledge base article type detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify knowledge base article type at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Support Automation: This use case involves integrating the False text classification function within customer support systems to automatically categorize incoming queries. By identifying articles related to specific knowledge base types, support teams can route questions to the appropriate department or FAQ resources, enhancing response times and customer satisfaction.
- Content Management Optimization: Organizations can leverage the classifier to streamline their content management processes. By accurately categorizing knowledge base articles, cross-departmental teams can ensure that relevant information is easily accessible and avoid redundant document creation.
- Training and Onboarding Efficiency: The function can be utilized to streamline the training and onboarding of new employees. By classifying and organizing knowledge base content, new hires can quickly find the resources tailored to their job roles, reducing the learning curve and improving productivity.
- Enhanced Search Functionality: By implementing the False text classification feature in search engines, users can benefit from more relevant search results. This results in a smarter search that provides suggested articles based on their specific knowledge types, improving user experience and engagement.
- Analytics and Reporting: Businesses can use the classification system to analyze knowledge base performance over time. By tracking which types of content are most accessed, organizations can make informed decisions on where to expand or update their knowledge resources, ultimately optimizing content strategy.
- Personalized User Experience: The function can be employed to enhance personalized user experiences on websites or applications. By identifying the type of articles a user is most interested in, companies can tailor content recommendations, leading to better customer engagement and retention.
- Compliance and Risk Management: Organizations can automate the identification of compliance-related knowledge base articles using the text classification function. This ensures that employees are accessing the latest information required for regulatory compliance, reducing risks associated with outdated or incorrect knowledge dissemination.