Analyze sentiment in your text data
Analyze and explore your dataset with ease
Visualize and analyze data using a CSV file
Explore and visualize CSV data
AI-Powered Tabular Data Assistant -- Talk to CSV / Excel.
Analyze CSV data with a custom query
Analyze CSV files with queries
Analyze CSV data with questions
Analyze data for originality or flexibility
Analysed the attached data
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Analyze sentiments in CSV/XLSX files
A unified service, "EveryChat," that allows you to choose an
SentimentAnalysis is an AI-powered tool designed to help users analyze the sentiment of text data stored in CSV files. It converts raw text data into actionable insights by determining whether the sentiment of the text is positive, negative, or neutral. This tool is particularly useful for businesses, researchers, and analysts looking to understand customer opinions or public sentiment from large datasets.
• CSV File Support: Easily import and analyze text data stored in CSV files.
• Sentiment Detection: Automatically classify text as positive, negative, or neutral.
• Customizable Options: Adjust settings to fine-tune sentiment analysis for specific use cases.
• Summary Reports: Generate detailed reports summarizing sentiment trends and patterns.
• Multi-Language Support: Analyze text in multiple languages for global sentiment insights.
What file formats does SentimentAnalysis support?
SentimentAnalysis supports CSV files exclusively. Ensure your text data is in CSV format before importing.
How accurate is SentimentAnalysis?
Accuracy depends on the quality of input data and selected settings. The tool uses advanced AI models to ensure high accuracy, but results may vary based on context and complexity.
Can I analyze data in different languages?
Yes, SentimentAnalysis supports multiple languages. Simply select the target language during the setup process to analyze text in that language.