Identify news article sentiment
using AI
Below is a free classifier to identify news article sentiment. Just input your text, and our AI will predict the sentiment of news articles. - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("news-article-sentiment", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/news-article-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/news-article-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 news articles..
This pretrained text model uses a Nyckel-created dataset and has 7 labels, including 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 news articles.).
Whether you're just curious or building news article sentiment detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify news article sentiment at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Media Monitoring: Companies can utilize the sentiment identifier to analyze news articles about their brand, industry, or competitors. This allows for quick identification of positive, negative, or neutral coverage, enabling proactive reputation management and strategic response planning.
- Customer Feedback Analysis: Businesses can apply the sentiment analysis to assess news articles concerning customer complaints or satisfaction in their markets. By understanding public sentiment, they can adjust their products and services accordingly to enhance customer experience.
- Market Trend Prediction: Investors can leverage the sentiment identifier to evaluate the overall sentiment of news articles related to stocks or industries. A positive sentiment trend can signal potential growth opportunities, while negative sentiment may indicate risks to consider before investing.
- Crisis Management: Organizations can use real-time sentiment analysis to monitor news during a crisis, allowing them to gauge public perception and media narratives. This enables timely responses to mitigate damage and control the narrative around the event.
- Content Strategy Development: Media agencies can utilize the sentiment identifier to analyze the effectiveness of their stories and publications. By understanding which types of articles resonate positively or negatively with readers, they can refine their content strategies to drive better audience engagement.
- Brand Health Assessment: Companies can regularly review news sentiment to measure the overall health of their brand. Consistently negative sentiment could trigger a re-evaluation of marketing messages or customer engagement strategies.
- Competitor Benchmarking: Businesses can analyze the sentiment of news articles about their competitors to gain insights into their positioning and public perception. This information can inform competitive strategies and help identify areas where a business can improve its offerings.