AI-powered indexing technology to analyze, structure and enrich mentions, conversations and opinions
🤖 GeriAI – Semantic Intelligence Engine
Semantic Intelligence Model
GeriAI is TrawlingWeb's proprietary semantic intelligence model that "powers" large language models (LLM) through a semantic enrichment pipeline. Thanks to this system we achieve:
- ⚡ Optimize LLM inference: reducing latencies and computational costs by filtering and prioritizing only relevant information.
- 🔍 Extend NLP capabilities: beyond simple entity identification, we incorporate deep analysis of emotional nuances, intentions and message positioning.
- 🌐 Scale in real time: modular and adaptable architecture, designed to adjust to different workloads and ensure continuous availability.
🎯 Benefits
With GeriAI, media monitoring, social listening and business intelligence companies get an enriched semantic analysis, more precise and efficient, capable of transforming thousands of mentions into strategic decisions and significantly improving ROI in data intelligence projects.
Cognitive Analysis
GeriAI breaks down each social conversation into up to nine strategic points, covering from how the sender expresses themselves to how the message is perceived and where it stands in the discourse:
- 📝 Linguistic style and register
- 😊 Polarity and emotional tone
- 🎯 Communicative intention
- 📦 Entity and topic identification
- 🔗 Coherence and clarity
- 🌍 Temporal and geographic context
- 💪 Persuasion potential
- 👁️ Receiver perception
- 📊 Positioning on debates or trends
How It Works
- 🛠️ Data ingestion: we automatically analyze posts from Facebook, Twitter, Instagram, YouTube, websites and other public sources to feed GeriAI.
- 🏷️ Semantic tagging in 9 categories: GeriAI assigns qualitative tags to each post in categories such as message type (perception), protagonist, estimated author age, main topic, institutional tone, rhetorical appeal, argumentative consistency, among others.
- 💾 Structured storage: the resulting tags are stored in categoryX columns in our MySQL database, ensuring fast and efficient access.
- 🔄 Automatic and resilient processing: a script runs every minute to tag new posts; in case of error, records are flagged for retry and incident logging.
- 📊 Dashboard integration: semantic data feeds monitoring panels, allowing filtering by intention, tone, topic or demographic group, as well as detecting spikes in complaints, reports or praise.
- ⚠️ Early alerts: We use our @mochis to detect and notify you of significant variations in critical categories, facilitating proactive response.
- 🔁 Feedback and continuous improvement: we periodically adjust thresholds and refine classification rules to optimize GeriAI's semantic precision.
📊 Information Analysis
We analyze public information using various Text and Data Mining (TDM) technologies adapted to each type of source.
- 📄 HTML Analysis: source code processing to identify and classify relevant information.
- 🎯 Structured Processing: precise DOM navigation to locate and process key data.
- 💻 Dynamic Analysis: processing of pages with information generated via JavaScript.
- 🏷️ Metadata Processing: identification and analysis of structured elements (meta tags, OG, JSON-LD, etc.).
- 📦 Structured Response: analyzed data is returned in formats ready for API integration.
