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@RezaGooner RezaGooner released this 24 Mar 23:26
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V1.1
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Release v1.1 - Enhanced File Handling & Comprehensive Outputs

I'm excited to announce Version 1.1 of the Sentiment Survey Analyzer! This update introduces powerful new features for streamlined batch processing and improved reporting.

🚀 New Features

CSV Input/Output Support

  • 📥 Read comments directly from CSV: Process thousands of comments at once by providing a comments.csv file (one comment per row)
  • 📤 Save predictions to CSV: Export full results (sentiment_results.csv) and a summary report (sentiment_summary.csv) with:
    • Total processed comments
    • Counts of recommended/not_recommended/no_idea
    • Error rate and model accuracy

Structured Outputs

outputs/
├── sentiment_results.csv  # Full results (comment + sentiment)
└── sentiment_summary.csv  # Aggregated statistics

Error Resilience

  • Automatic handling of malformed text/encoding issues

  • Detailed error logging for troubleshooting

Why Upgrade?

  • Scalability: Process large datasets effortlessly

  • Transparency: Clear audit trails with input/output files

  • Production-Ready: Robust error handling for continuous pipelines

Check the GitHub repo and Previous versionfor full documentation!

#NLP #SentimentAnalysis #MachineLearning

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