Text Analytics: See What Comments Are Saying, Fast

AI classifies comments by sentiment and topic and summarizes them in a single sentence. Comments that may carry risk are forwarded to the responsible person.

Text analytics settings: topic list and personal data protection
Sentiment Analysis
Each comment is classified as positive, neutral, negative or mixed.
Topic Classification
Comments are assigned to up to three topics from a list you tailor to your industry.
Short Summary
The main point of long comments is summarized in a single sentence.

Risk detection

Risky Comments Stand Out

Comments involving health, safety, threats or legal risk raise the case to critical level and notify its owner.

  • Filtering by topic and sentiment
  • Retrospective analysis of comments from the last 30 days
  • Period summary, highlights and recommended actions
  • Draft replies for Google reviews

Data privacy

Personal Data Is Masked Before Sending

Analysis is optional and turned off by default. Email addresses, phone numbers, Turkish national ID numbers and IBANs are masked before sending; names and contact details are not shared.

  • The company administrator turns it on and off in settings
  • Ready-made wording for the privacy notice

Capabilities

  • Sentiment classification
  • Editable topic list
  • Comment summary
  • Critical content flag
  • Periodic management summary
  • Suggested reply drafts

Frequently Asked Questions

Which AI technology is used?

Anthropic Claude. Personal data is masked before comments are sent.

Can the analysis be turned off?

It is off by default; the company administrator turns it on in settings and can turn it off at any time.

How reliable are the analysis results?

Classification is an AI estimate and is not error-free. Tags are meant for decision support; the full comment is always visible in the case, and your team makes the final assessment.

See text analytics with examples close to your own data.

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