Our solutions combine advanced scraping and artificial intelligence to capture, structure, and enrich news, conversations, and opinions in real time.
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🤖 GeriAI – Semantic Intelligence Engine
Semantic Intelligence Model
GeriAI is Trawlingweb’s proprietary semantic intelligence model that enhances large language models (LLMs) through a semantic enrichment pipeline. Thanks to this system, we achieve:
- ⚡ Optimized LLM inference: Reduces latency and computational cost by filtering and prioritizing only the most relevant information.
- 🔍 Extended NLP capabilities: Goes beyond basic entity extraction to include deep analysis of emotional tone, communicative intent, and message positioning.
- ☁️ Real-time scalability: Built on microservices architecture deployed in Kubernetes over AWS/GCP, with Redis-based embedding caching and semantic graphs in Neo4j.
🎯 Benefits
With GeriAI, media monitoring, social listening, and business intelligence teams gain richer, more accurate and efficient semantic analysis, capable of turning thousands of mentions into strategic decisions—significantly boosting ROI in data intelligence projects.
Analysis Across 9 Key Dimensions
GeriAI breaks down each social conversation into up to nine strategic layers, covering everything from the sender’s language to how the message is perceived and positioned within the broader discourse:
- 📝 Linguistic style and register
- 😊 Emotional polarity and tone
- 🎯 Communicative intent
- 🗂️ Topic and entity extraction
- 🔗 Coherence and clarity
- 🌍 Temporal and geographical context
- 🎙️ Persuasive potential
- 👁️ Audience perception
- 📊 Positioning in public debates or trends
How We Do It
- 🛠️ Data ingestion: We automatically capture content from Facebook, Twitter, Instagram, YouTube, news websites, and analog media to feed GeriAI.
- 🧠 Semantic tagging in 9 categories: GeriAI assigns qualitative tags per post in categories such as message type (perception), protagonist, estimated author age, main topic, institutional tone, rhetorical appeal, and argumentative consistency.
- 💾 Structured storage: The resulting tags are written into categoriaX columns in our MySQL database, ensuring fast and efficient access.
- 🔄 Automated and resilient processing: A script runs every minute to tag new posts. If an error occurs, records are flagged for retry and logged accordingly.
- 📊 Dashboard integration: Semantic data feeds monitoring panels, allowing filtering by intent, tone, topic, or demographic group, and detecting spikes in complaints, reports, or praise.
- ⚠️ Early alerts: We configure automatic notifications upon detecting significant shifts in critical semantic categories, enabling proactive response.
- 🔄 Continuous feedback and improvement: We periodically adjust thresholds and refine classification rules to enhance GeriAI’s semantic accuracy.
🕷️ Technologies for Web Content Processing
We extract structured data from websites using different techniques tailored to each site's architecture and complexity.
- 📄 HTML Scraping: Direct extraction from the page’s source code by analyzing its semantic structure.
- 📍 XPath Scraping: Precise navigation of the DOM using XPath expressions to locate and extract key data.
- 🖥️ Rendered Scraping: Use of rendering engines to access dynamic content generated via JavaScript.
- 🏷️ Metadata Scraping: Identification and extraction of structured elements embedded in HTML (meta tags, OG, JSON-LD, etc.).
- 📤 Structured Export: Data is delivered in formats ready for processing or integration via API.
📰Technologies for Print Media Processing
We extract accurate information from PDFs and scanned newspaper images using a combination of comput
- 🖥️ Multilingual OCR with Layout Analysis: extracts text and layout structure across full pages
- 🛠️ Automatic detection of articles and clippings: based on visual and logic segmentation
- 🧠 Topic and entity classification (NLP): identifies brands, people, locations, and institutions
- 🤖 LLM-based postprocessing: semantic validation, title normalization, data enrichment
- 📤 Export as structured digital clippings: ready for delivery platforms or internal systems
📰Technologies for Print Media Processing
We process video and audio signals to detect mentions, events, and key moments — with high precision and zero manual intervention.
- 🧠 Automatic transcription with multilingual ASR: converts speech into structured text with speaker segmentation.
- 🎯 Detection of key moments: identifies mentions of brands, people, topics, or segments based on time or context.
- ✂️ Automatic generation of clips: based on detected events, themes, or visual/audio triggers.
- 🤖 AI postprocessing with GeriAI: enriches metadata, validates segments, and classifies content semantically.
- 📤 Structured export of audiovisual clippings: ready to integrate into internal systems or delivery platforms.
