Multi-Format Export Support

What's New

Comprehensive Export Functionality

• Multiple Formats: Export analysis results to CSV, Excel, and JSON formats
• Dynamic Segments: Automatic detection and flattening of complex nested segment structures
• Advanced Filtering: Filter exports by sentiment, segments, date ranges, and custom criteria
• Rich Content: Include summary statistics, segment analysis, and entity/phrase details
• Fluent Interface: Chainable methods for easy export workflows

Export Features

• CSV Export: Clean tabular format with configurable sections and headers
• Excel Export: Formatted worksheets with multiple sheets and styling
• JSON Export: Structured API-friendly format with metadata
• Smart Headers: Dynamic column generation based on segment structure
• Data Filtering: Export only the data you need with powerful filter options

Developer Experience

• Fluent API: result.filter_sentiment(:positive).responses_only.to_csv()
• Quick Methods: result.export_positive(:excel), result.export_negative(:json)
• Pure Ruby: No Rails dependencies, works in any Ruby environment
• Comprehensive Tests: Test coverage for all export formats and edge cases

v0.3.0

Integrate Claude AI as a new provider

• Adds support for Claude AI as a new NLP provider
• Enables provider selection via the provider argument (:claude)
• Implements Claude-specific prompt formatting and response parsing
• Works alongside existing providers like OpenAI and AWS Comprehend
• Fully backward compatible with existing functionality

v0.2.0

Gem Release: v0.2.0

This release introduces support for runtime configuration of key parameters.

Added

• question can now be passed as an argument
• prompt can now be passed as an argument
• batch_size can now be passed as an argument

These values no longer need to be hardcoded and can be customized per invocation.

Notes

• Backward compatible: default values are used if arguments are not provided

Kickoff Release – Sentiment, Phrases & Entities

🎉 First public release of the SentimentInsights gem!

• Sentiment analysis via OpenAI, AWS Comprehend, or local NLP
• Key phrase extraction with segment context
• Named entity recognition support