Senta provides pre-trained models and tools for sentiment analysis tasks including sentence-level and aspect-level sentiment classification, opinion extraction, and emotion classification. SKEP (Sentiment Knowledge Enhanced Pre-training) leverages unsupervised methods to automatically mine sentiment knowledge and uses it to enhance pre-training objectives, achieving state-of-the-art results across 14 Chinese and English sentiment analysis benchmarks. The system offers one-click prediction tools to lower the barrier for downstream deployment.