Features
No-code text classifier builder
Pre-trained sentiment analysis
Keyword extraction and entity recognition
Topic classification and grouping
Sentiment analysis with aspect detection
Batch processing via API or CSV upload
Interactive dashboard and visualizations
Multi-label classification support
Model performance metrics (precision, recall)
Zapier integration for no-code automation
Word cloud and keyword frequency charts
SageMaker AI for full ML lifecycle (build, train, deploy)
SageMaker Unified Studio for analytics and AI development
Amazon SageMaker Catalog for data and AI governance
Lakehouse architecture unifying S3, Redshift, and federated sources
Zero-ETL integrations for near real-time data ingestion
HyperPod for distributed training of large models
JumpStart for pre-built models and solutions
MLOps tools for model management and versioning
Amazon Q Developer for natural language productivity
Federated query across third-party data sources
Fine-grained access controls and permissions
Built-in data quality monitoring and lineage
Apache Iceberg compatibility for open table formats
Bedrock integration for generative AI applications
Web Search on Bedrock AgentCore for grounded agent responses
