TL;DR — Sentiment Analysis Service

Design a sentiment analysis service that processes text from multiple sources (social media, reviews, support tickets, surveys) and classifies sentiment in real-time. The system supports multi-language analysis, aspect-based sentiment (sentiment toward specific features/topics), and provides aggregate sentiment dashboards for brand monitoring. Key features: Document-level sentiment classification (positive, negative, neutral, mixed). Aspect-based sentiment: extract entities and sentiment toward each.