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Text Analysis
Moderation

Moderation

Check text for moderation flags

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What is Moderation ?

Moderation is a powerful text analysis tool designed to help you identify and flag potentially problematic content within text. It serves as a crucial tool for maintaining a safe and respectful environment in digital spaces by automatically scanning text for inappropriate or sensitive material. Whether you're managing a forum, a social media platform, or any other text-based application, Moderation provides an essential layer of oversight.


Features

• Advanced Text Scanning: Quickly analyze text for keywords, phrases, or patterns that may violate community guidelines.
• Customizable Filters: Define your own set of rules and keywords to tailor moderation to your specific needs.
• Sentiment Analysis: Assess the tone and emotional context of text to detect harmful or offensive language.
• Real-Time Feedback: Get instant alerts and reports when flagged content is detected.
• Integration Ready: Easily incorporate into existing platforms or applications via APIs.


How to use Moderation ?

  1. Submit Text for Analysis: Input the text you want to moderate into the tool.
  2. Set Custom Rules (Optional): Define specific keywords, phrases, or criteria for moderation.
  3. Run the Analysis: Execute the moderation process to scan the text.
  4. Review Results: Receive a detailed report highlighting flagged content and potential issues.
  5. Take Action: Use the insights to decide whether to approve, reject, or modify the text.

Frequently Asked Questions

What types of content can Moderation detect?
Moderation can detect a wide range of content, including profanity, hate speech, spam, and other user-defined criteria.

Can I customize the moderation rules?
Yes, Moderation allows you to define custom filters and rules to align with your specific moderation policies.

How does Moderation handle feedback or false positives?
Moderation provides detailed reports that allow you to review and adjust flagged content. You can also refine your rules to reduce false positives over time.

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