SharedToday — Social Intelligence Platform
Product Overview
SharedToday is a full-stack Social Intelligence and AI Analytics Platform built by Loosely Coupled Technologies (LCT).
It transforms millions of online interactions — posts, comments, reactions, and news — into actionable insight through advanced Natural Language Processing (NLP), Machine Learning, and Contextual Data Visualization.
From governments mapping public sentiment to enterprises understanding customer emotion and media houses analyzing narratives, SharedToday is where data meets decision.
Core Capabilities
- Real-Time Social Listening
Track and analyze public conversation from Facebook, X (Twitter), YouTube, News Sites, Blogs, and Forums through multilingual pipelines (Bangla, English, Malay, others).
- Context-Based Analysis
Move beyond hashtags — understand topics, entities, issues, and their relationship to your organizational or campaign goals.
- Sentiment & Emotion Detection
AI-powered sentiment engines identify polarity (positive/negative/neutral) and underlying emotions (confidence, anger, hope, concern).
- Audience Segmentation
Classify influencers, activists, supporters, and critics to track narrative shifts and engagement clusters.
- Comparative Analytics & Benchmarks
Compare topics, brands, leaders, or policies side by side to measure share of voice and public trust evolution over time.
- Customizable Dashboards & Exports
Interactive visuals and reports powered by Angular and JS graph libraries with instant Excel or PDF export for executive reporting.
- AI Reporting Assistant
Built-in summarization and insight generation for policy briefs, media reports, or corporate presentations.
How it works
1️⃣ Data Collection – APIs, web scrapers, and custom feeds aggregate real-time data from verified sources.
2️⃣ Processing & Cleaning – NLP pipelines normalize and tokenize multilingual data.
3️⃣ AI Analysis – Sentiment classification, topic clustering, entity recognition and relationship mapping.
4️⃣ Visualization & Reports – Dashboards convert complex data into clear narratives for decision-makers.
5️⃣ Automated Summaries – The AI Assistant delivers human-readable insight in seconds.
Industries & Use Cases
Industry | Use Case Example |
Public Sector & Governance | Monitor policy discourse, citizen feedback, and electoral sentiment for decision support. |
Media & News Organizations | Track news reach, topic evolution and reader emotion (UNB Plus deployment). |
Corporate & Consumer Brands | Analyze brand perception and campaign impact across markets. |
Development & NGO Sector | Measure social impact and program feedback through public narratives. |
Academia & Research | Conduct topic modelling and sentiment studies for social science and political research. |
Real-World Impact
- UNB Plus (White-Label Platform):
SharedToday re-engineered as a media intelligence system for United News of Bangladesh, enabling real-time AI Chatbot access to public discourse. - Boston Consulting Group (BCG):
Custom NLP engine deployed for multi-region sentiment and topic analysis across Malaysia, Singapore, Indonesia and Bangladesh. - AI Collective Bangladesh Launch:
Used as the analytical platform to measure ethical AI discourse and cross-sector collaboration impact. - Election Analytics (UNB + Ittefaq):
Measured student political sentiment, engagement dynamics and digital momentum ahead of DUCSU 2025.
Technology Stack
Layer | Tools & Frameworks |
Backend | Azure SQL, Python, R, NLP Engine (Custom Built by LCT) |
Frontend | Angular.JS, JavaScript Graph Libraries |
Hosting | Microsoft Azure Cloud |
AI Modules | Sentiment Analysis, Topic Modelling, Entity Recognition, Summarization |
Integration Options | REST API, Webhooks, Dashboard Embed Support |
Why choose SharedToday
✅ End-to-End Platform – From data collection to decision insight.
✅ Multilingual Capability – Bangla, English, Malay & regional languages.
✅ Customizable Models – Adapt NLP for sector-specific use cases.
✅ Secure & Compliant – GDPR, PDPA, and data-ethics aligned.
✅ Proven Deployments – Used by governments, enterprises and media leaders.