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Sentiment
RayKav
Persian conversational-text analysis for brands, policy, and public opinion.
RayKav is a Persian NLP engine optimised for informal, conversational text. It harvests data from Instagram, Twitter, Telegram, and online retail platforms, then extracts sentiment, clusters topics, identifies influential voices, and benchmarks brands. Because its models are built on colloquial Persian rather than formal written prose, the insights stay close to what people actually say — giving organisations an accountable, actionable picture of public perception and market conversation.
Key Capabilities
- ✓Sentiment analysis tuned for colloquial Persian
- ✓Thematic conversation clustering and trending-topic discovery
- ✓Cross-platform tweet comparison and active-user identification
- ✓Brand perception scoring and product/service ranking
- ✓Demographic inference (age, gender) from user interactions
- ✓Influencer identification and engagement-performance analysis
- ✓Hashtag and keyword frequency tracking with trend visualisation
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