Identify employer reviews sentiment using AI

Below is a free classifier to identify employer reviews sentiment. Just input your text, and our AI will predict the sentiment of employer reviews - in just seconds.

employer reviews sentiment identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("employer-reviews-sentiment", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/employer-reviews-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/employer-reviews-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 employer reviews.

This pretrained text model uses a Nyckel-created dataset and has 20 labels, including Balanced, Critical, Disapproving, Dismissive, Dissatisfied, Enthusiastic, Mixed, 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 employer reviews).

Whether you're just curious or building employer reviews sentiment detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify employer reviews sentiment at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Employee Feedback Analysis: This use case involves analyzing employee reviews to gauge overall sentiment towards their employer. By categorizing feedback as positive, negative, or neutral, organizations can identify areas of improvement and enhance employee satisfaction.

  • Recruitment Strategy Improvement: Employers can use sentiment analysis on candidate reviews to refine their recruitment strategies. Understanding the sentiment expressed by former candidates can help organizations tailor their messaging and improve the candidate experience.

  • Brand Reputation Management: Organizations can monitor sentiment regarding employer reviews to manage their brand reputation effectively. Timely responses to negative sentiments can mitigate crises and enhance public perception of the company.

  • Workplace Culture Assessment: This function can assist HR in assessing workplace culture by analyzing employee sentiments in reviews. By identifying prevalent themes in sentiment, HR can implement changes to foster a more positive workplace environment.

  • Performance Benchmarking: Employers can compare their sentiment scores with industry benchmarks to assess their standing. Identifying gaps in sentiment can lead to targeted initiatives for competitive advantage in attracting and retaining talent.

  • Employee Retention Strategies: By understanding the sentiment of departing employees through their reviews, organizations can identify common grievances. This information can guide retention strategies to improve the work environment and reduce turnover rates.

  • Product or Service Impact Assessment: Companies can evaluate the impact of their products or services on employee sentiments. Understanding how organizational changes or offerings influence employee perceptions can help guide future business developments and initiatives.

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