Identify email content sentiment
using AI
Below is a free classifier to identify email content sentiment. Just input your text, and our AI will predict the sentiment of the email content - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("email-content-sentiment", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/email-content-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/email-content-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 the email content.
This pretrained text model uses a Nyckel-created dataset and has 7 labels, including Negative, Neutral, Positive, Somewhat Negative, Somewhat Positive, 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 the email content).
Whether you're just curious or building email content sentiment detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify email content sentiment at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Support Triage: The email content sentiment identifier can be utilized in customer support systems to prioritize incoming requests based on their sentiment. Positive emails can be routed to self-service resources, while negative ones can be escalated to human representatives for immediate attention.
- Marketing Campaign Effectiveness: Marketers can leverage this tool to analyze customer feedback and responses to email marketing campaigns. By measuring sentiment, companies can assess the effectiveness of their messaging and make data-driven adjustments to optimize future campaigns.
- Brand Reputation Monitoring: Businesses can employ the sentiment identifier to scan emails that mention their brand or products. This will help detect potential issues early and gauge public perception, allowing teams to proactively address negative sentiments before they escalate.
- Sales Lead Qualification: Sales teams can use sentiment analysis to enhance lead scoring processes. Emails expressing enthusiasm or strong interest can be flagged as high-priority leads, enabling sales reps to focus their efforts on the most promising prospects.
- Product Feedback Analysis: The sentiment identifier can aggregate insights from customer emails about product satisfaction and user experience. Companies can identify common pain points or positive features, which can inform product development and improvement strategies.
- Employee Engagement Monitoring: Human Resources can utilize the sentiment analysis tool to monitor internal emails for employee sentiment regarding company policies or morale. This can help identify areas where employee engagement is low or where improvements in company culture may be needed.
- Compliance and Risk Management: The sentiment identifier can assist compliance teams in detecting potentially risky communications, such as dissatisfaction related to service violations or ethical concerns. By flagging negative sentiment, organizations can investigate and address issues that may impact compliance and mitigate risks.