Identify forum post sentiment
using AI
Below is a free classifier to identify forum post sentiment. Just input your text, and our AI will predict the sentiment of forum 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("forum-post-sentiment", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/forum-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/forum-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 forum posts.
This pretrained text model uses a Nyckel-created dataset and has 8 labels, including Mixed Sentiment, 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 forum posts).
Whether you're just curious or building forum post sentiment detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify forum post sentiment at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Feedback Analysis: This function can analyze forum posts related to a company's products or services to identify sentiment trends. Businesses can gain insights into customer satisfaction levels and address any negative sentiments promptly to improve customer experience.
- Brand Monitoring: Companies can utilize the sentiment identifier to monitor discussions about their brand on forums and online communities. By understanding the overall sentiment, they can take proactive measures to manage their online reputation and engage with customers effectively.
- Market Research: Organizations can analyze sentiment in forum posts to gauge public opinion on emerging trends, products, or technologies. This information can guide product development or marketing strategies based on consumer preferences and sentiments.
- Crisis Management: In times of a PR crisis, the sentiment identifier can help businesses track public reaction on forums in real-time. This allows companies to quickly understand the sentiment landscape and respond strategically to mitigate damage.
- Community Engagement: Non-profits or community organizations can use the sentiment analysis to gauge public sentiment on community initiatives discussed in forums. This data can help them tailor their engagement approaches and improve participation rates.
- Competitor Analysis: Businesses can analyze forum discussions surrounding competitors to identify sentiment regarding their offerings. This information can inform strategic decisions about positioning and marketing efforts in comparison to competitors.
- Product Improvement: By examining sentiment in forum posts about specific products, companies can identify areas for improvement based on customer feedback. Understanding both positive and negative sentiments can help inform enhancements and guide future development priorities.