Identify if meeting notes contains a profanity
using AI
Below is a free classifier to identify if meeting notes contains a profanity. Just input your text, and our AI will predict if meeting notes contain a profanity - 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-meeting-notes-contains-a-profanity", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-meeting-notes-contains-a-profanity/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-meeting-notes-contains-a-profanity/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if meeting notes contain a profanity.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Clean and Contains Profanity.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if meeting notes contain a profanity).
Whether you're just curious or building if meeting notes contains a profanity detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if meeting notes contains a profanity at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Corporate Communication Monitoring: This use case involves the analysis of meeting notes to ensure professional language is used. By identifying profanities, organizations can enforce standards in internal communications, maintain a respectful workplace culture, and address any issues promptly.
- Employee Training and Development: HR departments can utilize this function to assess meeting notes during training sessions. By flagging inappropriate language, trainers can provide feedback to employees on their communication skills and emphasize the importance of professional language in business settings.
- Compliance and Risk Management: Organizations can employ this tool to ensure compliance with internal policies regarding the use of language in documents. Identifying profanities in meeting notes helps mitigate risks associated with employee behavior, potentially reducing liability in case of complaints or conflicts.
- Sentiment Analysis Enhancement: By incorporating profanity identification in sentiment analysis frameworks, businesses can refine their interpretation of meeting discussions. This tool allows for a more nuanced understanding of employee sentiments, potentially revealing underlying frustrations or conflicts that need addressing.
- Cultural Sensitivity Training: Companies can analyze meeting notes to gather insights on the language used across different teams. This data can inform cultural sensitivity training programs by highlighting areas where language needs to be adjusted to promote inclusivity and respect.
- Performance Evaluation Metrics: Managers can use profanity identification as part of their performance evaluation metrics. Tracking the frequency of inappropriate language in meeting notes can provide insights into an individual’s professionalism and their fit within the company culture.
- Product Development Feedback Loop: Teams working on product development can utilize this function to enhance collaboration feedback. By monitoring language used in meetings, businesses can identify communication barriers or negative attitudes that may affect project progress and team dynamics.