Identify identify school subject by textbook
using AI
Below is a free classifier to identify identify school subject by textbook. Just input your text, and our AI will predict what school subject the textbook belongs to - in just seconds.
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("identify-school-subject-by-textbook-identifier", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/identify-school-subject-by-textbook-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/identify-school-subject-by-textbook-identifier/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict what school subject the textbook belongs to.
This pretrained text model uses a Nyckel-created dataset and has 21 labels, including Mathematics and Science.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what school subject the textbook belongs to).
Whether you're just curious or building identify school subject by textbook detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify identify school subject by textbook at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Curriculum Mapping: Schools can utilize the multilabel text classification function to map textbooks to their corresponding subjects efficiently. This ensures that educators have the appropriate resources for course planning and aligns instructional materials with their syllabi.
- Resource Allocation: Educational institutions can streamline their resource allocation by identifying the subjects associated with each textbook. By knowing which textbooks belong to which subjects, schools can optimize library collections and ensure adequate availability for students.
- Personalized Learning Pathways: Online education platforms can employ the classification function to offer personalized learning pathways. By analyzing student preferences and textbook content, these platforms can suggest relevant subjects and corresponding materials to enhance individual learning experiences.
- Enhanced Search Functionality: Publishers and educational websites can implement this function to enhance search capabilities for users. When users search for a textbook, the system can immediately provide a list of related subjects, improving user experience and facilitating easier access to relevant information.
- Automated Content Tagging: Educational technology tools can automate the process of tagging textbooks with relevant subjects using this classification function. This saves time for educators and administrators in organizing and categorizing educational materials, ensuring quicker access for both teachers and students.
- Assessment Preparation: Teachers can leverage the function to group textbooks by subject when creating assessment materials. This ensures that assessments are comprehensive and aligned with the relevant curriculum, which can improve student preparedness and learning outcomes.
- Curriculum Development: Educational policymakers can use the multilabel classification to analyze trends in textbook subjects. Insights drawn from this data can inform curriculum development decisions, helping stakeholders identify subject areas that require additional resources or updating to meet educational standards.