Identify if scene has subtext
using AI
Below is a free classifier to identify if scene has subtext. Just input your text, and our AI will predict if the scene has subtext - 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("if-scene-has-subtext", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-scene-has-subtext/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/if-scene-has-subtext/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if the scene has subtext.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Literal and Subtext Present.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the scene has subtext).
Whether you're just curious or building if scene has subtext detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if scene has subtext at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Content Moderation: This function can be utilized to identify scenes in user-generated content that contain underlying subtext, which is crucial for platforms that need to ensure appropriateness and compliance with community standards. By flagging these scenes, moderators can assess content more efficiently for potential violations relating to hate speech, violence, or other sensitive themes.
- Marketing Analysis: Businesses can leverage the subtext identifier to analyze advertisements and promotional materials for underlying messages that resonate with specific demographics. By understanding the subtext, marketers can refine their strategies to better align their messaging with consumer sentiments and create more impactful ad campaigns.
- Social Media Insights: The function can be implemented to analyze social media posts, identifying patterns in subtext that signal public sentiment or trending topics. This information is invaluable for brands seeking to engage proactively with their audiences, tailoring their responses or content strategies to align with prevailing societal attitudes.
- Script Analysis in Film and Television: Filmmakers and scriptwriters can use this technology to evaluate scripts for subtext, ensuring complex themes and emotions are effectively conveyed. By identifying scenes with rich subtext, creators can enhance character development, leading to more engaging storytelling and emotional resonance with audiences.
- News Article Sentiment Analysis: Journalists and news organizations can use the identifier to assess the subtext in articles, helping them understand biases or underlying tones in reporting. This analysis allows for more balanced journalism by prompting editors to consider how subtext may influence readers' perceptions of events and issues.
- Educational Content Development: Educators can harness this function to develop teaching materials that highlight the importance of subtext in literature and communication. By identifying specific scenes in texts or films that illustrate subtext, teachers can create more immersive and critical learning experiences for students.
- Emotional Analytics for Customer Experience: Companies can apply this identifier to customer feedback and reviews, extracting insights into the emotional undertones present. By understanding the subtext in customer sentiments, businesses can improve their services and products more attuned to customer needs and expectations.