Identify cover letter sentiment
using AI
Below is a free classifier to identify cover letter sentiment. Just input your text, and our AI will predict the sentiment of your cover letter - 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("cover-letter-sentiment", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/cover-letter-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/cover-letter-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 your cover letter.
This pretrained text model uses a Nyckel-created dataset and has 19 labels, including Appreciative, Confident, Critical, Disappointed, Discouraging, Encouraging, Enthusiastic, Formal, Frustrated and Hopeful.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the sentiment of your cover letter).
Whether you're just curious or building cover letter sentiment detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify cover letter sentiment at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Applicant Screening: Recruitment teams can utilize the cover letter sentiment identifier to analyze the emotional tone of applicants' cover letters. By assessing sentiment, they can filter candidates who convey enthusiasm and positivity, potentially improving the quality of hires.
- Employee Engagement Monitoring: HR departments can apply this tool to evaluate the sentiment of cover letters submitted by internal candidates for promotions. Understanding the emotional undertone can help gauge employee motivation and engagement levels within the organization.
- Diversity and Inclusion Initiatives: Organizations can use sentiment analysis to review cover letters for discriminatory language or biases. This analysis can support D&I initiatives by ensuring that recruitment practices foster an inclusive workplace.
- Personalized Feedback for Applicants: The sentiment identifier can be leveraged in applicant feedback systems to provide insights into the emotional tone of submitted cover letters. This allows employers to offer constructive and personalized feedback, enhancing the candidate experience.
- Training and Development Programs: Companies can analyze sentiment trends in cover letters across various departments to identify potential skill gaps. This data can inform the design of training and development programs tailored to uplift morale and foster career growth.
- Hiring Strategy Adjustments: By compiling sentiment analysis data over time, organizations can gain insights into which departments receive more positive or negative sentiments in applications. This information can help refine hiring strategies and address any underlying issues in certain teams.
- Brand Perception Analysis: Marketing and recruitment teams can use cover letter sentiment analysis to evaluate how applicants perceive the company culture and brand. By capturing the emotional responses in cover letters, organizations can gain insights into public perception and make necessary adjustments to enhance their employer brand.