Identify if a text contains more than 3 adjectives
using AI
Below is a free classifier to identify if a text contains more than 3 adjectives. Just input your text, and our AI will predict if the text contains more than three adjectives - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-a-text-contains-more-than-3-adjectives", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-a-text-contains-more-than-3-adjectives/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-a-text-contains-more-than-3-adjectives/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if the text contains more than three adjectives.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Contains More Than 3 Adjectives and Contains 3 Or Fewer Adjectives.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the text contains more than three adjectives).
Whether you're just curious or building if a text contains more than 3 adjectives detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if a text contains more than 3 adjectives at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Sentiment Analysis Enhancement: By identifying texts with more than three adjectives, businesses can gain deeper insights into customer sentiment. This use case can improve sentiment analysis models by filtering out overly simple feedback and focusing on more descriptive and nuanced opinions.
- Content Quality Assessment: Media and publishing companies can use this identifier to assess the quality of submitted articles, blogs, or reviews. Texts with a higher adjective count may indicate a richer, more engaging narrative which can lead to better reader experience and increased retention.
- Marketing Copy Optimization: Marketers can analyze promotional content to determine its descriptiveness and emotional impact based on adjective usage. By filtering for texts with multiple adjectives, teams can refine their messaging to increase engagement and conversion rates.
- Job Candidate Evaluation: Human resources can apply this function to resumes or cover letters to gauge the descriptiveness of candidates’ self-descriptions. A higher count of adjectives may indicate a more expressive candidate, potentially correlating with strong communication skills.
- Social Media Monitoring: Brands can utilize this tool to monitor user-generated content on social media platforms for highly descriptive posts about their products. Engaging with posts that have more than three adjectives can enhance customer relations and promote positive interactions.
- Customer Review Analysis: E-commerce platforms can implement this identifier to filter authentic customer reviews. Reviews with a significant number of adjectives are likely to contain detailed impressions of products, aiding potential buyers in making informed decisions.
- Training AI Models: Developers can use this identifier to curate datasets for training natural language processing (NLP) models. By selecting texts rich in adjectives, they can create examples that teach models to recognize and engage with more expressive language patterns effectively.