Identify if a text contains a negative word
using AI
Below is a free classifier to identify if a text contains a negative word. Just input your text, and our AI will predict if it contains a negative word - in just seconds.
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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("if-a-text-contains-a-negative-word", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-a-text-contains-a-negative-word/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/if-a-text-contains-a-negative-word/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if it contains a negative word.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Contains Negative Words and Does Not Contain Negative Words.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it contains a negative word).
Whether you're just curious or building if a text contains a negative word detection into your application, we hope our classifier proves helpful.
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Need to identify if a text contains a negative word at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Sentiment Analysis in Customer Feedback: Businesses can leverage the identifier to analyze customer feedback by detecting negative sentiments within reviews and comments. This helps companies identify areas of improvement and respond promptly to customer concerns, enhancing customer satisfaction and loyalty.
- Social Media Monitoring: Organizations can use the text classification function to sift through social media posts about their brand and flag those containing negative language. By doing so, they can address public relations issues swiftly and manage their online reputation effectively.
- Employee Feedback Assessment: HR departments can apply this tool to analyze internal employee surveys and feedback forms. By identifying negative language, they can uncover underlying issues affecting employee morale and take proactive steps to foster a healthier workplace culture.
- Product Review Screening: E-commerce platforms can implement the identifier to filter and classify product reviews for moderation. This allows them to remove or highlight negative reviews before they impact potential customers’ purchasing decisions and maintain the credibility of their platforms.
- Content Moderation for User-Generated Content: Community-driven platforms can utilize the function to scan user-generated content, such as forum posts or comments, for negative language. This enables them to enforce community guidelines and create a more positive and welcoming environment for users.
- Risk Management in Financial Services: Financial institutions can apply this identifier to analyze customer communications or complaints for negative sentiment. By recognizing potential issues early on, they can mitigate risks and manage relationships with clients more effectively.
- Brand Health Tracking through Surveys: Companies can use this text classification tool to evaluate brand perception by analyzing survey results regarding brand-related topics. Identifying negative language helps them gain insights into public sentiment and adjust their marketing strategies accordingly.