Identify if a text contains an exclamation mark
using AI
Below is a free classifier to identify if a text contains an exclamation mark. Just input your text, and our AI will predict if it contains an exclamation mark - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-a-text-contains-an-exclamation-mark", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-a-text-contains-an-exclamation-mark/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-an-exclamation-mark/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if it contains an exclamation mark.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Contains Exclamation Mark and Does Not Contain Exclamation Mark.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it contains an exclamation mark).
Whether you're just curious or building if a text contains an exclamation mark detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if a text contains an exclamation mark at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Satisfaction Analysis: Companies can use exclamation mark identification in customer feedback texts to gauge satisfaction levels. Feedback with multiple exclamation marks may indicate a highly positive experience, while texts lacking such punctuation might suggest dissatisfaction.
- Marketing Campaign Effectiveness: Marketing teams can analyze social media posts and advertisements for the presence of exclamation marks to assess audience engagement. Text that contains exclamation marks may be more effective in capturing attention and driving interaction.
- Sentiment Detection in Reviews: E-commerce platforms can identify products that generate enthusiastic customer reviews. Texts that contain exclamation marks may correlate with high ratings, assisting in the identification of best-selling products.
- Social Media Monitoring: Social media managers can track brand mentions and consumer reactions by analyzing the presence of exclamation marks in posts. A surge in posts with exclamation marks can indicate trending topics or crises that require immediate attention.
- Text Message Triage: Customer support teams can filter incoming messages based on the presence of exclamation marks to prioritize urgent inquiries. Messages with exclamation marks may signal frustrated customers who need prompt assistance.
- Employee Engagement Surveys: Human resources departments can evaluate employee feedback in engagement surveys by identifying enthusiastic language characterized by exclamation marks. This can help gauge overall morale and identify areas needing improvement.
- Automated Content Moderation: Content moderation systems can flag submissions for review based on exclamation mark usage, which may indicate potential spam or excessive emotional content. This helps maintain the quality of user-generated content on platforms.