Identify viewing difficulty
using AI
Below is a free classifier to identify viewing difficulty. Just input your text, and our AI will predict the level of viewing difficulty for different content types - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("viewing-difficulty", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/viewing-difficulty/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/viewing-difficulty/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the level of viewing difficulty for different content types.
This pretrained text model uses a Nyckel-created dataset and has 16 labels, including Accessible, Advanced, Challenging, Clear, Complex, Confusing, Difficult, Easy, Intermediate and Moderate.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the level of viewing difficulty for different content types).
Whether you're just curious or building viewing difficulty detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify viewing difficulty at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Content Personalization: The "viewing difficulty" identifier can be utilized by streaming services to analyze viewer engagement with different content. By categorizing shows and movies based on complexity, recommendations can be tailored to match users' preferences and skill levels.
- Educational Material Optimization: Educational platforms can use this function to classify learning materials or courses by their viewing difficulty. This will enable educators to suggest appropriate resources to students, ensuring that learners are adequately challenged without becoming overwhelmed.
- Targeted Marketing Campaigns: Marketing teams can leverage the "viewing difficulty" identifier to segment audiences based on their content preferences. By understanding what type of content resonates with different demographics, campaigns can be designed to highlight products and services that appeal to specific viewer difficulties.
- Parental Controls Enhancement: Streaming services can enhance their parental control features by using the identifier to flag content that may be too difficult for younger audiences. This functionality allows parents to filter out shows and movies that contain complex themes or language, ensuring age-appropriate viewing.
- User Experience Improvement in Apps: Mobile and web application developers can incorporate the "viewing difficulty" identifier to enhance user interactions. By providing a smoother journey through app content based on difficulty, users can navigate more effectively and enjoy a more tailored experience.
- Performance Analysis for Creators: Content creators and producers can utilize the identifier to analyze the performance of their media in relation to viewing difficulty. This insight helps creators refine their approach by identifying what complexities resonate with audiences, guiding future content development.
- Accessibility Compliance: Organizations can apply the "viewing difficulty" identifier to ensure content accessibility standards are met. By categorizing media based on its viewing complexity, they can implement necessary adjustments or provide additional resources for viewers who may require assistance, promoting inclusive viewing experiences.