Analyze sentiment in CSV text data
Explore and visualize CSV data
simplest rag with csv
Analyze data and generate charts by querying
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Please provide text column for sentiment analysis
Analyze sentiments in CSV/XLSX files
Load and analyze CSV data using Pandas
Accepts CSV, XLS, XLSX, JSON, XML, TXT. Try our demo!
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Analyze CSV data with questions
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Sentiment App is a tool designed to analyze sentiment in CSV text data. It helps users convert raw data into actionable insights by identifying positive, negative, or neutral sentiments within the text. The app is user-friendly and accessible, making it easy to process and understand large datasets.
• CSV Support: Directly upload and analyze CSV files containing text data.
• Sentiment Analysis: Automatically detect and classify sentiment as positive, negative, or neutral.
• Data Visualization: Generate charts and graphs to represent sentiment distributions.
• Custom Filters: Apply filters to focus on specific subsets of data.
• Export Capabilities: Save and export analysis results for further processing.
• User-Friendly Interface: Intuitive design for seamless navigation and analysis.
What file formats does Sentiment App support?
Sentiment App supports CSV files. Ensure your data is properly formatted before uploading.
Can Sentiment App handle data in multiple languages?
Yes, Sentiment App supports sentiment analysis in multiple languages, depending on the configuration. Contact support for language-specific requirements.
Is Sentiment App available offline?
No, Sentiment App requires an internet connection to process and analyze data.