Identify status update sentiment
using AI
Below is a free classifier to identify status update sentiment. Just input your text, and our AI will predict the sentiment of your status updates - 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("status-update-sentiment", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/status-update-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/status-update-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 status updates.
This pretrained text model uses a Nyckel-created dataset and has 20 labels, including Angry, Anxious, Content, Disappointed, Discontent, Enthusiastic, Excited, Frustrated, Grateful and Happy.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the sentiment of your status updates).
Whether you're just curious or building status update sentiment detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify status update sentiment at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Social Media Monitoring: This feature can analyze the sentiment of status updates on social media platforms in real-time. By identifying positive, negative, or neutral sentiments, businesses can respond promptly to customer feedback, enhancing engagement and brand loyalty.
- Customer Feedback Analysis: Companies can leverage the sentiment identifier to process customer status updates about products or services. This analysis can help identify trends, areas of improvement, and customer satisfaction levels, allowing for better decision-making and strategic planning.
- Employee Sentiment Tracking: Organizations can use this tool to monitor the sentiment of employees through internal status updates or feedback platforms. Understanding employee sentiments aids in fostering a positive workplace environment and can guide HR initiatives.
- Market Research Insights: By analyzing public sentiment expressed in status updates, businesses can gain insights into market trends and consumer preferences. This data can be instrumental for launching new products or tailoring marketing strategies to meet customer expectations.
- Crisis Management: Analyzing the sentiment of status updates during a crisis can help companies gauge public opinion and react accordingly. This function allows for swift responses to any negative sentiments, potentially mitigating brand damage and restoring public trust.
- Brand Health Monitoring: The sentiment identifier can track how consumers feel about a brand over time through their shared status updates. This continuous monitoring can highlight shifts in public perception, enabling brands to adapt their messaging and strategies for better alignment with customer expectations.
- Competitive Analysis: Businesses can utilize sentiment analysis on status updates related to competitors to gauge public opinion and sentiment. This insight can inform competitive strategies, helping companies identify strengths and weaknesses in relation to market rivals.