Identify textbook subject by text
using AI
Below is a free classifier to identify textbook subject by text. Just input your text, and our AI will predict the most relevant textbook subject based on the provided text - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("textbook-subject-by-text-identifier", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/textbook-subject-by-text-identifier/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/textbook-subject-by-text-identifier/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the most relevant textbook subject based on the provided text.
This pretrained text model uses a Nyckel-created dataset and has 26 labels, including Mathematics and Science.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the most relevant textbook subject based on the provided text).
Whether you're just curious or building textbook subject by text detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify textbook subject by text at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Automated Curriculum Mapping: This use case involves leveraging the multilabel text classification function to automatically categorize and align textbooks with specific subjects within a curriculum. Educators can efficiently ensure that their resources match learning objectives and state standards without manually sifting through numerous textbooks.
- Enhanced Recommendation Systems: By identifying textbook subjects through text, publishers can create personalized recommendations based on students' courses and interests. This enhances the buying experience and aligns learning materials with individual student needs, potentially increasing sales and customer satisfaction.
- Subject-Specific Search Optimization: Educational platforms can improve their search functionality by implementing this classification tool. Users can quickly find relevant textbooks categorized by subject matter, making it easier for students to access appropriate resources for their studies.
- Academic Resource Management: Universities and libraries can utilize this technology to manage their textbook inventory effectively. By classifying textbooks by subjects, institutions can streamline their collections and identify gaps in available resources, ensuring comprehensive coverage of required materials for various programs.
- Targeted Marketing Strategies: Publishers can use this multilabel classifier to segment their textbook offerings based on subject areas for marketing campaigns. This enables more targeted outreach, attracting specific audiences interested in particular academic disciplines while optimizing marketing budgets.
- Curriculum Analysis and Development: Educators and curriculum developers can analyze existing textbooks to assess which subjects are well represented or lacking. This assessment can guide the creation of new courses and the selection of textbooks that best meet educational goals and trends.
- Compliance and Accreditation Support: Educational institutions can use the classification tool to demonstrate compliance with accreditation standards by showing how their textbook offerings align with required subjects. This provides a systematic approach to ensuring that all necessary topics are adequately covered in their programs.