Identify job description sentiment
using AI
Below is a free classifier to identify job description sentiment. Just input your text, and our AI will predict the sentiment of job descriptions across various categories. - 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("job-description-sentiment", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/job-description-sentiment/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/job-description-sentiment/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the sentiment of job descriptions across various categories..
This pretrained text model uses a Nyckel-created dataset and has 15 labels, including Critical, Disappointed, Discouraging, Dissatisfied, Encouraging, Enthusiastic, Favorable, Negative, Neutral and Optimistic.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the sentiment of job descriptions across various categories.).
Whether you're just curious or building job description sentiment detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify job description sentiment at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Job Posting Optimization: Businesses can leverage the job description sentiment identifier to analyze the tone of their job postings. By ensuring a positive and inclusive sentiment, companies can attract a broader and more diverse range of candidates.
- Recruitment Marketing Strategy: HR teams can analyze the sentiment of job descriptions across various industries to identify trends that resonate with candidates. This insight can inform marketing strategies, helping companies position themselves as attractive employers.
- Candidate Experience Enhancement: By evaluating the sentiment of job descriptions, companies can better understand potential candidates' perceptions. Adjusting the language to create a more engaging and appealing experience can improve candidate satisfaction and conversion rates.
- Organizational Culture Assessment: The sentiment identified in job descriptions can serve as a reflection of organizational culture. Organizations can evaluate and align their job postings with their desired culture, ensuring that they attract candidates who fit their values and work environment.
- Diversity and Inclusion Efforts: By analyzing the sentiment of job descriptions, companies can identify biased language that may deter diverse candidates. This function can help organizations create more inclusive job postings that speak positively to all applicants.
- Competitive Analysis: Companies can analyze the sentiment of job descriptions used by competitors to gain insights into their recruitment strategies. Understanding the emotional tone can help businesses position their own job offerings more effectively in the competitive job market.
- Automation of Job Descriptions: Integrating a job description sentiment identifier into applicant tracking systems can streamline the process of job description creation. By automatically suggesting sentiment adjustments, organizations can maintain a positive tone across all their job postings with minimal manual intervention.