Identify class focus by description
using AI
Below is a free classifier to identify class focus by description. Just input your text, and our AI will predict what category it belongs to - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("class-focus-by-description", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/class-focus-by-description/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/class-focus-by-description/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict what category it belongs to.
This pretrained text model uses a Nyckel-created dataset and has 25 labels, including Aerobic Exercise, Balance Training, Bodyweight Exercises, Cardiovascular Exercise, Circuit Training, Core Conditioning, Dance Fitness, Endurance Training, Flexibility Training and Functional Fitness.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what category it belongs to).
Whether you're just curious or building class focus by description detection into your application, we hope our classifier proves helpful.
Need to identify class focus by description at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Support Triage: This use case involves automatically classifying customer support inquiries based on their descriptions. By identifying the focus of each inquiry, support teams can prioritize and route them to the appropriate department, reducing response times and improving overall customer satisfaction.
- Content Moderation: In online platforms, user-generated content can be classified to identify inappropriate or harmful descriptions. This allows for efficient moderation by flagging or removing content that violates community guidelines, ensuring a safer environment for users.
- Product Categorization: E-commerce platforms can utilize this classification function to organize products based on their descriptions. By automatically tagging items into appropriate categories, it enhances user experience and improves searchability, driving sales and customer engagement.
- Sentiment Analysis Enhancement: In analyzing customer feedback, this function can classify the focus of comments or reviews. By understanding the sentiments tied to specific descriptions, companies can gain insights into customer satisfaction and areas that need improvement, informing future strategies.
- Marketing Campaign Targeting: Marketers can leverage the classification of descriptions in their campaigns to tailor messaging and offers to specific customer segments. This ensures that customers receive relevant promotions based on their needs and interests, increasing conversion rates and customer loyalty.
- Legal Compliance Monitoring: Organizations can utilize this function to classify communications or documents based on compliance-related descriptions. This aids in identifying potential legal risks or violations, enabling proactive measures to mitigate legal exposure and ensure adherence to regulations.
- Social Media Insights: Analyzing social media posts and comments can be enhanced with this classification function. By identifying the main focus of discussions around a brand or product, companies can better understand public perception and adjust their strategies accordingly for improved engagement.