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Convert CSV data into insights
SentimentAnalysis

SentimentAnalysis

Does a sentiment analysis off of an Excel file

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What is SentimentAnalysis ?

SentimentAnalysis is an AI-powered tool designed to analyze CSV or Excel files and determine the emotional tone or sentiment of the text within them. It categorizes the sentiment as positive, negative, or neutral, providing valuable insights from textual data. This tool is particularly useful for businesses and researchers to convert raw CSV data into actionable insights.

Features

• Support for CSV/Excel Files: Easily upload your data in CSV or Excel format for analysis. • Automatic Sentiment Scoring: Each text entry is scored for sentiment, labeled as positive, negative, or neutral. • Sentiment Distribution:_view overall sentiment distribution to understand trends in your data. • Customizable Thresholds: Adjust sensitivity levels to fine-tune sentiment detection. • API Access: Integrate sentiment analysis directly into your applications via API. • Real-Time or Batch Processing: Analyze data in real-time or process large batches for comprehensive insights.

How to use SentimentAnalysis ?

  1. Prepare Your Data: Ensure your CSV or Excel file contains text data in a readable format.
  2. Upload Your File: Use the web interface or API to upload your file.
  3. Select Options: Customize settings such as sentiment thresholds if needed.
  4. Run Analysis: Click to start the analysis process.
  5. Review Results: Download or view the sentiment analysis report.
  6. Optional: Integrate results into your workflow via API for further processing.

Frequently Asked Questions

What file formats are supported?
SentimentAnalysis supports CSV and Excel files. Ensure your data is in a compatible format before uploading.

Can I customize the sentiment thresholds?
Yes, customizable thresholds allow you to fine-tune sentiment sensitivity to suit your needs.

How long does the analysis take?
Processing time depends on the size of your dataset. Small files are processed in real-time, while large batches may take longer.

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