Identify city skyline ratings
using AI
Below is a free classifier to identify city skyline ratings. Just input your text, and our AI will predict the skyline rating of various cities. - in just seconds.
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("city-skyline-ratings", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/city-skyline-ratings/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/city-skyline-ratings/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the skyline rating of various cities..
This pretrained text model uses a Nyckel-created dataset and has 23 labels, including 1 Out Of 10, 10 Out Of 10, 2 Out Of 10, 3 Out Of 10, 4 Out Of 10, 5 Out Of 10, 6 Out Of 10, 7 Out Of 10, 8 Out Of 10 and 9 Out Of 10.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the skyline rating of various cities.).
Whether you're just curious or building city skyline ratings detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify city skyline ratings at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Urban Development Feedback: This function can be utilized by city planners and developers to gauge public sentiment about various urban skyline designs. By classifying text feedback from citizens regarding new skyscraper projects, planners can assess the potential acceptance or opposition to proposed changes.
- Real Estate Marketing Analysis: Real estate agents can leverage this function to analyze online reviews and social media posts related to properties near city skylines. Understanding public sentiment can help agents better market properties either as desirable living spaces or areas needing improvement.
- Tourism Promotion Strategies: City tourism boards can use skyline ratings to craft targeted marketing campaigns that highlight scenic viewpoints. By analyzing community sentiment about various city skylines, they can promote specific locations that garner the most positive feedback.
- Infrastructure Investment Decisions: Government bodies can utilize skyline ratings to determine priority areas for infrastructure investments, such as parks or public spaces with skyline views. Positive ratings can indicate regions that could benefit from enhancements to attract more visitors and residents.
- Community Engagement Initiatives: Local governments can use this function to assess the effectiveness of community engagement programs focused on urban aesthetics. By analyzing text data from surveys and feedback forms, they can refine initiatives to better align with public opinions about skyline appearances.
- Branding and Image Management: Companies within the hospitality sector, like hotels and restaurants, can use skyline ratings to shape their brand image. By understanding how their establishments contribute to or detract from the skyline perception, they can enhance visual appeal and customer experience.
- Environmental Impact Assessments: Environmental agencies can employ sentiment analysis on text related to skyline changes and their ecological effects, such as light pollution and green space reduction. This data can inform policy decisions and community education efforts to minimize negative impacts while promoting skyline-friendly developments.