Analyze text sentiment from CSV files
Analyze data with real-time insights
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Explore and visualize CSV data
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Explore and analyze data with insights and visualizations
Accepts CSV, XLS, XLSX, JSON, XML, TXT. Try our demo!
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Sentiment Analysis V2 is a powerful tool designed to analyze text sentiment from CSV files. It helps users convert raw CSV data into actionable insights by identifying the emotional tone or attitude conveyed by the text, such as positive, negative, or neutral sentiments.
• CSV File Support: Easily process and analyze text data stored in CSV files.
• Advanced Sentiment Classification: Identify sentiment as positive, negative, or neutral with high accuracy.
• Multi-Language Support: Analyze text in multiple languages to cater to global datasets.
• Customizable Filters: Apply filters based on sentiment type or intensity for deeper insights.
• Batch Processing: Handle large datasets efficiently with batch processing capabilities.
• Integration Ready: Compatible with other tools and workflows for seamless integration.
What file formats are supported?
Sentiment Analysis V2 supports CSV files. Ensure your data is properly formatted for accurate results.
Can I customize the sentiment model?
Yes, Sentiment Analysis V2 allows users to customize sentiment classification models to fit specific use cases.
How do I handle large CSV files?
Sentiment Analysis V2 supports batch processing for large datasets. Split your file into smaller chunks or use the built-in batch processing feature.