TEXT MODERATION & ANALYSIS via AI in 2025

Why is it important to recognize more text information than ever! Supplement to Video and Image moderation ultra-high-definition artificial intelligence solution that quantifies and qualifies objects in real time the text moderation is very important and has grown a lot in several available tools. But where are the little secrets that make services better or more useful?

Well, see here:

Text moderation means reviewing and filtering content to ensure that it complies with certain guidelines – such as on forums, social media, comment columns, or chat systems.

Text analysis describes the automated evaluation and interpretation of texts in order to recognize patterns, meanings or connections.

What are the Goals of Text moderation?

• Avoiding hate speech
• Protection against glorification of violence
• Removal of toxic, harassing, or sexual content
• Compliance with legal requirements (e.g. GDPR, protection of minors)
• Filtering websites, E-Mail addresses or phone numbers
• Extraction of information
• Topic or trend detection
• Evaluate customer feedback
• Classification of texts (e.g. spam vs. non-spam)

Combination of moderation & analysis:

Block toxic comments (moderation) and at the same time analyze which topics are discussed particularly frequently (analysis). airis:protect’s solution is

• Automatically delete a note on websites, e-mail addresses, phone numbers or comments with offensive language or mark them for manual review
• Extract sentiment and topics from innocuous comments to identify trends

Result:

 AI-assisted text moderation & analysis is extremely useful and indispensable.

airis:protect can help with this. It offers a comprehensive service and help with support. Especially with text moderation the bullets are:

  The new Text API will be merged with our main API to allow the moderation of text, whether in plain text or extracted from images

 Single API call for text, video and Image

 Together with the already existing checks available

 includes the moderation of phone numbers, social handles, E-mails and webpages as well as profanity.

 Named Entity Recognition: Recognition of websites, E-Mail addresses, phone numbers, names, places that need to be censored in images or videos

 Keyword filtering: Recognizing specific words or phrases

 Rule-based systems: Predefined rules and patterns

 Classification: detects offensive language, threats, Recognition of negative emotions, categorization of texts

 Tokenization: Breaking down text into words/sentences

With millions of training courses and checks carried out, airis:protect is one of the perfect partners and they are also trusting anyway. GDPR and DSGVO are a given.

TRUST airis:protect and get the best service. Learn more: https://airisprotect.com

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