ALYA Open Source Intelligence Solution – Intelligent Insight, Global visibility

Product Positioning

As a core digital tool for enterprises, governments, and organizations to safeguard public image and prevent potential risks, the Public Opinion Monitoring System by NEXCORE Tech integrates global data collection, AI intelligent analysis, and full-process collaborative disposal capabilities. It provides one-stop services including public opinion report generation, major event tracking and early warning, key communication node profiling, decision support, and crisis public relations response. It supports deep customization of locally deployed public opinion analysis systems, enabling seamless integration with users’ business systems to comprehensively improve the efficiency and accuracy of public opinion analysis and disposal.

Core Application Scenarios

-Crisis Public Relations: Capture product quality complaints and brand negative public opinion in milliseconds, quickly trigger recall processes or public relations responses, and minimize reputational losses.

-Policy Formulation: Real-time monitor public controversial focuses and core demands on policy drafts, providing data support for clause optimization and implementation.

-Marketing Effect Evaluation: Track real user feedback after new product launches and marketing campaigns across all channels, quantify communication volume and reputation quality, and optimize marketing strategies.

Ten Core Capabilities

1. Multiple Channel Data Collection: Comprehensive Information Coverage

-Multi-Source Capture: Real-time collection of public data from news websites, social media, forums, blogs, video platforms, APPs, etc.

-Dark Web/Niche Platform Monitoring: Capability to crawl and identify potential risk information from non-public channels.

-Multi-modal Processing Technology: Supports content analysis of text, images, videos, and audio, enables structured processing of multimedia content, and allows custom tagging.

2. Intelligent Analysis and Mining: Penetrating the Essence of Data

Refined Sentiment Analysis: Accurately judges the positive/negative tendency and intensity of public opinion (supports up to 8 dimensions of emotional characteristics, such as anger, panic, and other subdivided emotions).

Entity Recognition: Automatically extracts key information such as names, enterprises, regions, and events.

Topic Clustering: Classifies massive information into hot events.

Semantic Association: Discovers hidden connections between information.

Deepfake Detection: Identifies AI-generated false content (such as face-swapped videos, fake news).

Traceability Analysis: Tracks information dissemination paths and locates key nodes (KOLs, bot accounts).

3. Real-Time Early Warning and Dynamic Tracking: Preventing Risks in Advance

Threshold-Based Early Warning: Supports custom sensitive word libraries (such as brand negative words, political sensitive words) and triggers SMS/email/IM notifications.

Hierarchical Alerting: Classifies alerts by event severity (e.g., red/orange/yellow alerts).

Dissemination Speed Monitoring: Built-in public opinion dissemination prediction model to accurately identify “viral” trends.

Cross-Platform Linkage Analysis: Discovers the fermentation correlation of the same event across multiple platforms.

4. Visualization and Report Generation: Intuitive Data Presentation

Dynamic Dashboard: Real-time display of public opinion heat maps, sentiment distribution, and communication topology diagrams.

Self-Service Reports: Generates daily/weekly/monthly PDF/PPT reports containing key indicators (volume, sentiment ratio, TOP topics).

Custom Analysis Dimensions: Supports multi-dimensional drill-down analysis by region, demographic attributes (gender, age), channels, etc.

5. Prediction and Decision Support: Scientific Guidance for Actions

Public Opinion Trend Prediction: Accurately predicts the development trend of public opinion based on historical data and machine learning algorithms.

Impact Quantitative Evaluation: Scientifically measures the potential impact of public opinion on stock prices, sales volume, policy advancement, etc.

Response Suggestion Library: Built-in standardized script templates and crisis handling process guidelines to improve response efficiency.

6. Multi-Role Collaborative Management: Efficient Internal Linkage

Refined Permission Classification: Sets multi-role permissions such as administrators, analysts, and general viewers to ensure data security.

Work Order System Flow: Quickly assigns tasks such as public relations responses and legal intervention internally to achieve collaborative disposal.

Case Library Precipitation: Accumulates historical event handling experience and supports intelligent matching of similar cases to reuse successful solutions.

7. Compliance and Security Assurance: Full-Process Risk Control

Data Desensitization: Automatically hides personal privacy information to protect user data security.

Full-Process Audit Logs: Records all operation traces, fully complying with international regulatory requirements such as GDPR.

Friendly Anti-Crawling Mechanism: Avoids interference to target platforms caused by monitoring behaviors and collects data in compliance.

8. Expansion and Integration Capabilities: Flexible Adaptation to Business

Open API Interfaces: Supports integration with internal business systems such as CRM, OA, and ERP to achieve real-time synchronization of public opinion data.

Multilingual Coverage: Specialized optimization for various ASEAN minor languages to adapt to cross-border business needs.

AI Model Iteration: Supports continuous optimization of algorithms and keyword libraries based on user feedback to improve monitoring accuracy.

9. Special Scenario Adaptation: Meeting Diverse Needs

Emergency Response: Quickly identifies rumors and pushes true information during public events such as earthquakes and epidemics.

Competitor Comparative Analysis: Real-time monitors public opinion dynamics of the same category and compares core indicators such as volume and sentiment tendency.

Brand Health Tracking: Builds indicator models such as NPS (Net Promoter Score) to safeguard brand image in the long term.

10. Cost-Performance Balance: Efficient and Economical

Deduplication and Denoising Technology: Intelligently filters invalid information such as trolls and advertisements, saving storage and analysis costs.

Edge Computing Architecture: Completes preliminary processing at the data source, significantly reducing cloud load and improving response speed.