Identify workplace survey sentiment
using AI
Below is a free classifier to identify workplace survey sentiment. Just input your text, and our AI will predict the overall sentiment of workplace survey responses - 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("workplace-survey-sentiment", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/workplace-survey-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/workplace-survey-sentiment/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the overall sentiment of workplace survey responses.
This pretrained text model uses a Nyckel-created dataset and has 23 labels, including Appreciated, Content, Discouraging, Disengaged, Dissatisfied, Encouraging, Engaged, Enthusiastic, Frustrated and Hopeful.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the overall sentiment of workplace survey responses).
Whether you're just curious or building workplace survey sentiment detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify workplace survey sentiment at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Employee Engagement Analysis: This use case involves analyzing workplace surveys to gauge employee engagement levels. By identifying positive, neutral, or negative sentiments in open-ended responses, organizations can pinpoint areas needing improvement and foster a more engaged workforce.
- Recruitment Feedback Evaluation: Companies can utilize sentiment analysis on candidate feedback from interviews and onboarding surveys. This helps to understand new hires' sentiments regarding the recruitment process, facilitating adjustments to enhance the candidate experience.
- Organizational Culture Assessment: Through sentiment identification in employee feedback surveys, businesses can evaluate their organizational culture. Understanding sentiments allows leaders to address any cultural issues and promote a more positive workplace environment.
- Change Management Support: During organizational restructuring or change initiatives, sentiment analysis can be applied to employee feedback to gauge reactions. This data helps leaders to manage change more effectively and implement strategies that address employee concerns.
- Leadership Effectiveness Review: By analyzing sentiment in survey responses about leadership styles and effectiveness, organizations can gather insights about their management teams. This information is valuable for leadership development programs and improving managerial approaches.
- Wellness Program Evaluation: Organizations can assess the impact of workplace wellness programs by analyzing sentiments in related feedback surveys. Understanding employee sentiments toward these initiatives enables better tailoring of programs to meet employee needs and promote overall well-being.
- Diversity and Inclusion Assessment: Sentiment analysis on surveys focused on diversity and inclusion can reveal employees' feelings towards these efforts. By examining sentiments, companies can identify strengths and weaknesses in their policies and practices, leading to improved diversity initiatives.