Identify product reviews sentiment
using AI
Below is a free classifier to identify product reviews sentiment. Just input your text, and our AI will predict the sentiment of product reviews. - 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("product-reviews-sentiment", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/product-reviews-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/product-reviews-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 product reviews..
This pretrained text model uses a Nyckel-created dataset and has 10 labels, including Dissatisfied, Mixed, Negative, Neutral, Positive, Satisfied, Slightly Negative, Slightly 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 product reviews.).
Whether you're just curious or building product reviews sentiment detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify product reviews sentiment at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Feedback Analysis: Businesses can use the sentiment identifier to analyze customer reviews and feedback across various platforms. By categorizing sentiments as positive, negative, or neutral, companies can gain insights into customer satisfaction and areas needing improvement.
- Product Improvement Initiatives: The sentiment classification function allows product teams to identify common themes and pain points in user reviews. By addressing negative sentiments, companies can make informed decisions to enhance product features or design.
- Competitive Analysis: Brands can utilize the sentiment identifier to monitor and compare customer sentiments about their products against competitors. This analysis can highlight strengths and weaknesses in customer perception, guiding strategic marketing and development efforts.
- Marketing Campaign Optimization: Marketing teams can leverage sentiment analysis from product reviews to refine messaging in promotional campaigns. By understanding what customers appreciate or dislike, they can create targeted campaigns that resonate better with the audience.
- Reputation Management: Companies can employ sentiment classification to proactively manage their online reputation. By identifying and addressing negative reviews quickly, businesses can mitigate damage to their brand image and improve customer relations.
- Trend Identification: The sentiment identifier can assist in spotting emerging trends in customer preferences and sentiment over time. This knowledge can guide future product development and marketing strategies aligned with consumer interests.
- Customer Support Enhancement: Support teams can analyze sentiment from product reviews to understand recurring issues customers face. This information enables the creation of better support resources, FAQs, and response strategies tailored to customer needs.