News Analyzer — Sentiment Analysis API

Backend (.NET 8 + ML)

About

.NET 8 Web API with integrated sentiment analysis using VADER and Transformer models — automated RSS feed aggregation, political categorization, and news content scoring with Swagger documentation.

My Role

Built the complete API: .NET 8 with ML-based sentiment scoring (VADER + Transformer models), RSS feed aggregation pipeline, political categorization engine, and Swagger-documented endpoints.

Core Capabilities

• Sentiment analysis using VADER and Transformer ML models
• Automated RSS feed aggregation from multiple sources
• Political categorization of news articles
• Content scoring and ranking by sentiment
• Swagger/OpenAPI documentation
• RESTful endpoints for news querying and analysis

Architecture

• .NET 8 Web API with dependency injection
• VADER sentiment analysis model integration
• Transformer-based NLP model for deep analysis
• RSS feed parser for automated content ingestion
• Swagger/OpenAPI for API documentation

Tech Stack