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Development of Advanced Sentiment Analysis System for Brand Reputation Management

oxagile.com

Advertising & marketing

Information technology

eCommerce

Challenges in Manual Review Processing

The client faced overwhelming volumes of user reviews and comments requiring manual processing, leading to delayed removal of negative, spam, or inappropriate content. This manual approach risked brand reputation damage due to slow response times and inconsistent detection of nuanced negativity, sarcasm, and contextual ambiguity in user-generated content.

About the Client

SaaS platform provider specializing in brand reputation monitoring and social media management for businesses

Strategic Project Goals

Automate review classification with 80%+ accuracy
Implement BERT-based NLP model for contextual sentiment analysis
Reduce manual review processing time by 70%
Enable real-time detection of toxic content across multiple platforms
Establish scalable model retraining pipeline for continuous improvement

Core System Capabilities

BERT-based sentiment analysis engine with bidirectional context understanding
Multi-source review aggregation from social media and e-commerce platforms
Customizable negativity threshold settings
Automated content removal workflow with human verification option
Dashboard for real-time analytics and reporting

Technology Stack

BERT

PyTorch

PHP

Kubernetes

System Integrations

Social media APIs (Facebook, Twitter, Instagram)
eCommerce platform APIs (Amazon, Shopify)
Google Cloud NLP services
Third-party authentication providers

Performance Criteria

Process 10,000+ reviews/hour scalability
99.9% system uptime SLA
HIPAA-compliant data handling
Response time <200ms per review
Model accuracy maintenance above 75%

Business Value Projections

Implementation of this solution is expected to reduce content moderation costs by 60%, decrease negative content exposure time by 85%, and increase client retention through improved brand protection. The system's ability to process 150,000+ reviews monthly with 80% accuracy will enable businesses to maintain positive online reputations while freeing human resources for strategic brand management activities.