Identify language of job description
using AI
Below is a free classifier to identify language of job description. Just input your text, and our AI will predict the language of a job description. - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("language-of-job-description", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/language-of-job-description/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-job-description/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the language of a job description..
This pretrained text model uses a Nyckel-created dataset and has 30 labels, including Arabic, Bengali, Czech, Danish, Dutch, English, Filipino, Finnish, French and German.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the language of a job description.).
Whether you're just curious or building language of job description detection into your application, we hope our classifier proves helpful.
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Need to identify language of job description at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Recruitment Optimization: By identifying the language preferences in job descriptions, companies can tailor their recruitment materials to attract a more diverse pool of candidates. This function can analyze job postings to ensure they align with the language of their target demographic, improving candidate sourcing.
- Diversity and Inclusion Audit: Organizations can use this function to assess their job descriptions for bias in language that may inadvertently discourage underrepresented groups from applying. The results can support the development of more inclusive job postings by highlighting problematic terms and suggesting alternatives.
- Market Intelligence: Businesses can leverage this function to analyze competitors' job postings, gaining insights into the language they use to attract talent. By understanding trends in language choices, companies can refine their own job descriptions to remain competitive in the labor market.
- Compliance Monitoring: Companies in regulated industries can utilize the language identifier to ensure their job descriptions comply with legal standards regarding non-discrimination and equal opportunity. This function can help identify and rectify any language that could be interpreted as discriminatory.
- Sentiment Analysis: This function can be applied to gauge the sentiment and tone of job descriptions, determining if they are approachable and encouraging. By focusing on positive language, organizations can enhance their employer brand and create a welcoming impression for potential candidates.
- Automated Job Description Creation: Companies can integrate this function into an automated job description creation tool to ensure generated content aligns with the desired language features. This can simplify the hiring process while ensuring consistency and appeal in the language used.
- Employee Onboarding Improvement: The function can be used to analyze the language of job descriptions against the actual departmental language used within the organization. This ensures that new hires are aligned with the company culture and language from the outset, aiding in a smoother transition during onboarding.