SentimentAgent- Analyze

This agent analyzes comments and other content for sentiment, classifying each item as positive, negative, or neutral. It determines sentiment polarity, intensity, and context and sorts each piece into detailed categories using aspect-based analysis.

The agent works autonomously to interpret user emotion, keeps learning from new data, and applies reasoning to judge sentiment accurately. It helps teams monitor and manage public opinion about a brand, product, or service across social media, news articles, customer reviews, and forums. It achieves 87 percent accuracy in sentiment classification, 30 percent better than rule-based systems, and handles millions of data points a day with minimal latency. Customer service teams in communications, media, and technology use it. The agent runs on Dataflow, Cloud Run, AutoML Natural Language, Cloud Storage, and BigQuery, with ML model hosting for prediction.