Identify social media post sentiment
using AI
Below is a free classifier to identify social media post sentiment. Just input your text, and our AI will predict the sentiment of social media posts - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("social-media-post-sentiment", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/social-media-post-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/social-media-post-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 social media posts.
This pretrained text model uses a Nyckel-created dataset and has 16 labels, including Critical, Disappointed, Dissatisfied, Enthusiastic, Mixed, Negative, Neutral, Optimistic, Pessimistic and Positive.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the sentiment of social media posts).
Whether you're just curious or building social media post sentiment detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify social media post sentiment at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Brand Reputation Monitoring: This function can be employed to automatically assess public sentiment towards a brand by analyzing social media posts. By identifying negative or false sentiment, brands can swiftly address any misconceptions or issues that could harm their image.
- Customer Service Improvement: Companies can utilize sentiment identification to evaluate customer complaints or feedback shared on social media platforms. By distinguishing between genuine and non-genuine sentiments, businesses can prioritize responses and resolutions accordingly.
- Marketing Campaign Effectiveness: Marketing teams can analyze the sentiment of posts related to specific campaigns or promotions. Understanding customer reactions helps in refining marketing strategies or messaging that resonates more positively with the audience.
- Crisis Management: During a PR crisis, sentiment analysis can provide insights into public perception in real time. By identifying the nature of social media discussions, organizations can develop more effective crisis communication strategies to mitigate damage.
- Product Development Insights: Businesses can leverage sentiment analysis to gather feedback on new product releases or features. By identifying trends in emotional responses, product teams can make informed decisions about future enhancements or modifications.
- Influencer Partnership Evaluation: Brands can assess the sentiment of social media interactions related to potential influencer partners. Understanding the sentiment surrounding an influencer helps in selecting partners whose audience aligns positively with the brand's image.
- Competitive Analysis: Companies can use sentiment identification to monitor competitor mentions on social media. By analyzing how positively or negatively competitors are perceived, businesses can gain strategic insights into market positioning and customer preferences.