Identify community post sentiment
using AI
Below is a free classifier to identify community post sentiment. Just input your text, and our AI will predict the sentiment of community posts - 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("community-post-sentiment", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/community-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/community-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 community posts.
This pretrained text model uses a Nyckel-created dataset and has 17 labels, including Appreciative, Critical, Cynical, Disapproving, Dismissive, Encouraging, Enthusiastic, Hopeful, Indifferent and Negative.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the sentiment of community posts).
Whether you're just curious or building community post sentiment detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify community post sentiment at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Social Media Monitoring: Businesses can utilize the community post sentiment identifier to monitor public sentiment toward their brand on social media platforms. By analyzing community posts for positive, negative, or neutral sentiments, companies can gain insights into customer perceptions and address any potential concerns proactively.
- Product Feedback Analysis: This function can help companies extract sentiment from community discussions related to their products. By categorizing sentiments surrounding new launches or features, businesses can prioritize improvements based on real user feedback, driving better product development.
- Marketing Campaign Evaluation: Marketers can benefit from understanding how community posts react to their advertising campaigns. By assessing sentiment trends in response to campaigns, organizations can refine their messaging and strategies in real-time, enhancing future campaigns' effectiveness.
- Crisis Management: In times of a public relations crisis, the sentiment identifier can help organizations quickly gauge community reactions. By identifying negative sentiment spikes, companies can respond promptly and effectively to mitigate damage and improve public perception.
- Community Engagement Strategies: Organizations can use sentiment analysis to tailor engagement strategies based on community feedback. Understanding sentiment trends allows businesses to create more targeted content or initiatives that resonate with their audience, fostering a stronger community connection.
- Competitive Analysis: The sentiment identifier can analyze community posts related to competitors, offering insights into how rival brands are perceived. Businesses can leverage this information to identify gaps in the market and develop strategies that capitalize on competitors' weaknesses.
- Influencer Partnership Assessment: Brands can use the community sentiment identifier to evaluate potential influencer partnerships by analyzing sentiments related to the influencers’ posts. This analysis helps ensure alignment with brand values and can lead to more successful collaborations.