Identify if comment contains a curse word
using AI
Below is a free classifier to identify if comment contains a curse word. Just input your text, and our AI will predict if the comment contains a curse word - in just seconds.
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-comment-contains-a-curse-word", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-comment-contains-a-curse-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-comment-contains-a-curse-word/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if the comment contains a curse word.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Clean and Contains Curse Word.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the comment contains a curse word).
Whether you're just curious or building if comment contains a curse word detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if comment contains a curse word at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Content Moderation: This use case focuses on identifying and filtering user-generated content on platforms such as social media, forums, or customer review sites. By implementing a curse word identifier, companies can automatically flag or remove inappropriate comments, ensuring a safer and more respectful online environment.
- Customer Support Analysis: In customer support interactions, identifying curse words in chats or emails can help companies gauge customer frustration or dissatisfaction. By analyzing the frequency and context of such language, businesses can improve their response strategies and address underlying issues more effectively.
- Brand Reputation Management: Monitoring online mentions of a brand or product is essential for maintaining a positive reputation. An identifier for curse words allows brands to quickly react to negative sentiment in comments, enabling them to address issues before they escalate and harm their image.
- Employee Feedback Analysis: In internal communication channels, a curse word identifier can help HR departments analyze employee sentiment in feedback or survey responses. By understanding the emotional tone of comments, organizations can pinpoint areas of concern and foster a more conducive work environment.
- Ad Campaign Effectiveness: During the analysis of user interactions with marketing campaigns, identifying curse words can reveal cultural sensitivities or potential backlash. This insight allows companies to adjust their messaging and ensure it resonates positively with their target audience.
- Community Engagement Monitoring: For online communities or gaming platforms, recognizing curse words in player comments helps moderators maintain community standards. This function can facilitate timely interventions when discussions escalate, fostering a healthier community dynamic.
- Sentiment Analysis Enhancement: In natural language processing applications, integrating a curse word identifier enhances overall sentiment analysis accuracy. By factoring in the presence of offensive language, businesses can obtain a clearer understanding of sentiment trends and devise better strategic responses.