Identify political affiliation by text using AI

Below is a free classifier to identify political affiliation by text. Just input your text, and our AI will predict if the author is more likely to be a Democrat or Republican - in just seconds.

political affiliation by text identifier

For informational purposes only.

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("political-affiliation-by-text-identifier", "your_text_here", credentials)
            

fetch('https://www.nyckel.com/v1/functions/political-affiliation-by-text-identifier/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/political-affiliation-by-text-identifier/invoke
            

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if the author is more likely to be a Democrat or Republican.

This pretrained text model uses the Sentiment Analysis of Political Tweets dataset and has 2 labels, including Republican or Democrat.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the author is more likely to be a Democrat or Republican).

Whether you're just curious or building political affiliation by text detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify political affiliation by text at scale?

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



  • Political Analysis: Analyze political statements to determine party affiliation. Identify patterns in rhetoric and policy positions.

  • News Organizations: Categorize political content for balanced reporting. Sort opinion pieces by ideological leanings.

  • Social Media Platforms: Flag potential political bias in user-generated content. Group discussions by political alignment for moderation purposes.

  • Political Campaigns: Gauge public sentiment towards campaign messaging. Tailor outreach strategies based on audience political leanings.

  • Market Research: Segment consumer bases by political affiliation. Develop targeted marketing strategies for different political groups.

  • Academic Research: Classify large datasets of political texts for study. Track ideological shifts in political discourse over time.

  • Advertising Agencies: Create politically tailored ad campaigns. Optimize ad placement based on audience political preferences.

Want this classifier for your business?

In just minutes you can automate a manual process or validate your proof-of-concept.

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