Identify language of meeting minutes
using AI
Below is a free classifier to identify language of meeting minutes. Just input your text, and our AI will predict the appropriate language style for meeting minutes - 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("language-of-meeting-minutes", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/language-of-meeting-minutes/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/language-of-meeting-minutes/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the appropriate language style for meeting minutes.
This pretrained text model uses a Nyckel-created dataset and has 42 labels, including Arabic, Arabic Dialect, Bengali, Bulgarian, Croatian, Czech, Danish, Dutch, English and Estonian.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the appropriate language style for meeting minutes).
Whether you're just curious or building language of meeting minutes detection into your application, we hope our classifier proves helpful.
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Need to identify language of meeting minutes at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Meeting Minutes Language Compliance: This function ensures that meeting minutes adhere to language requirements set forth by organizations. By identifying the language used in the minutes, companies can verify compliance with internal policies or legal regulations and promote inclusivity in multilingual workplaces.
- Multilingual Business Intelligence: Organizations operating in diverse linguistic markets can leverage this identifier to analyze meeting minutes by language. This enables businesses to extract insights and trends based on language-specific discussions, enhancing decision-making processes catering to different regions.
- Automatic Language Translation: By identifying the language of meeting minutes, businesses can trigger automatic translation processes for effective communication. This ensures that all stakeholders, regardless of their primary language, have access to accurately translated meeting records, fostering collaboration.
- Language-specific Follow-up Actions: After classifying the language of meeting minutes, organizations can automatically route follow-up tasks to language-appropriate teams or individuals. This enhances operational efficiency by ensuring that actions based on meeting discussions are clearly understood and addressed in the relevant language.
- Record Keeping and Retrieval: Accurate identification of the language in meeting minutes can enhance the organization’s ability to archive and retrieve documents. This not only aids in better record management but also supports employees searching for information in their preferred language.
- Risk Management in Compliance: Companies can utilize this function to monitor meeting minutes for compliance with language standards in regulated industries. It helps identify potential risks associated with non-compliance, allowing for corrective measures before issues arise.
- Enhanced Employee Engagement: By understanding the language used in meeting minutes, organizations can cater to their workforce's linguistic diversity. This initiative can boost employee engagement, satisfaction, and overall productivity by ensuring that employees feel acknowledged and understood in their preferred language.