Identify language of news article using AI

Below is a free classifier to identify language of news article. Just input your text, and our AI will predict the category of the news article - in just seconds.

language of news article identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("language-of-news-article", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/language-of-news-article/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/language-of-news-article/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict the category of the news article.

This pretrained text model uses a Nyckel-created dataset and has 45 labels, including Arabic, Bengali, Bulgarian, Croatian, Czech, Danish, Dutch, English, Estonian and Finnish.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the category of the news article).

Whether you're just curious or building language of news article detection into your application, we hope our classifier proves helpful.

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Need to identify language of news article at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Multilingual News Aggregation: Media companies can utilize the language identifier to filter news articles from various sources based on the desired language, ensuring that their publications are aligned with the target audience’s preferences. This allows for a more streamlined content curation process and enhances user engagement.

  • Content Personalization: Online news platforms can employ the identifier to tailor articles to individual user preferences, delivering content in their preferred language. This personalized approach can improve user satisfaction and retention rates.

  • Ad Targeting for Global Campaigns: Advertisers can leverage the language detection feature to target ads more effectively based on the language of the articles being read. This ensures that promotional content aligns with the audience’s language, increasing the likelihood of conversion.

  • Automated Translation Services: News organizations can implement the language identifier in conjunction with translation services to automate the translation of articles into multiple languages. By understanding the article's original language, they can create accurate translations that maintain the context and tone of the original content.

  • Sentiment Analysis by Language: Businesses can use the language of news articles to conduct sentiment analysis in multiple languages, gaining insights into public opinion across different regions. This information can inform strategic decisions related to product launches, marketing, and public relations initiatives.

  • Compliance and Legal Monitoring: Companies operating in multilingual environments can use the identifier to monitor news articles for compliance with regional regulations in different languages. By identifying the language of articles, organizations can ensure they are aware of any legal developments relevant to their operations.

  • Crisis Management: Organizations can implement the language identifier to monitor news coverage in real time, identifying articles that may indicate a potential crisis in specific languages. Timely awareness of such issues allows businesses to respond quickly and effectively to manage their public image and communication strategies.

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