Identify performance review sentiment
using AI
Below is a free classifier to identify performance review sentiment. Just input your text, and our AI will predict the sentiment of employee performance reviews - 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("performance-review-sentiment", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/performance-review-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/performance-review-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 employee performance reviews.
This pretrained text model uses a Nyckel-created dataset and has 10 labels, including Discouraging, Encouraging, Mixed, Negative, Neutral, Positive, Satisfactory, Unsatisfactory, Very Negative and Very Positive.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the sentiment of employee performance reviews).
Whether you're just curious or building performance review sentiment detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify performance review sentiment at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Employee Engagement Assessment: This function can analyze the sentiment of performance reviews to gauge overall employee engagement within the organization. By identifying positive, negative, or neutral sentiments, HR can pinpoint areas that may require focus to enhance employee morale and retention.
- Management Effectiveness Evaluation: Organizations can utilize this tool to determine how employees feel about their managers based on performance review sentiments. This feedback can inform training and development programs for managers, ensuring they are equipped to foster a supportive work environment.
- Diversity and Inclusion Insights: By classifying sentiments expressed in performance reviews, companies can evaluate employee perceptions of diversity and inclusion initiatives. This analysis helps identify potential biases and areas for improvement, enabling organizations to create a more inclusive workplace.
- Performance Improvement Initiatives: The sentiment analysis can highlight common themes in negative feedback, guiding organizations in formulating performance improvement plans. By addressing specific issues raised by employees, companies can enhance productivity and job satisfaction.
- Talent Development Strategies: By identifying positive sentiments in performance reviews, HR can recognize and spot potential leaders within the organization. This insight can inform talent development initiatives, ensuring that high-potential employees receive opportunities for growth.
- Cultural Health Monitoring: Organizations can leverage this tool to continuously monitor the sentiment of performance reviews, providing insights into the company's cultural health. Regular sentiment analysis can help detect early signs of cultural issues, allowing for timely interventions.
- Feedback Loop Enhancement: This sentiment analysis function can assist in improving the feedback loop between employees and management. By understanding the underlying feelings expressed in reviews, organizations can create tailored feedback mechanisms that foster open communication and trust.