Documentation - Sentiment Analysis Tool

🚀 Getting Started

Prerequisites

Modern web browser (Chrome, Firefox, Safari, or Edge)
CSV files with the following format:
- Column 1: "Review" (text content)
- Column 2: "Liked" (sentiment value: 1 for positive, 0 for negative, 2 for neutral)
- Optional: "Dataset" column to specify the dataset type

📊 Supported Datasets

Restaurant Reviews

Default dataset with restaurant-specific reviews and binary sentiment classification.

Format: CSV
Records: 1,000+
Best for: General sentiment analysis training

Hotel Reviews

Hotel-specific reviews with three-way sentiment classification (positive/negative/neutral).

Format: CSV
Records: 141
Best for: Hospitality industry analysis

Movie Reviews

Movie-specific reviews with three-way sentiment classification.

Format: CSV
Records: 128
Best for: Entertainment industry sentiment trends

Tech Reviews

Technology product reviews with three-way sentiment classification.

Format: CSV
Records: 121
Best for: Product feedback analysis

💻 Using the Application

Uploading Data

Click the "Choose CSV File" button
Select your CSV file from your computer
Click "Analyze" to start the sentiment analysis
Wait for the results to be generated

Understanding Results

The analysis provides comprehensive insights:

Overall sentiment score: Average polarity across all reviews
Sentiment distribution: Histogram showing sentiment patterns
Category breakdown: Positive, Neutral, and Negative counts
Word clouds: Visual representation of frequent terms
Subjectivity analysis: How opinionated vs factual reviews are
Example reviews: Most positive and negative examples

✨ Best Practices

CSV File Format

Review,Liked,Dataset
                "Great experience!",1,"Restaurant"
                "Poor service.",0,"Hotel"
                "Average movie.",2,"Movie"

Tips for Best Results

Ensure your CSV file follows the required format
Use UTF-8 encoding for special characters
Keep file size under 10MB for optimal performance
Use clear, complete sentences in reviews
Avoid excessive special characters or emojis

🔧 Troubleshooting

File Upload Failed

If your file upload fails, check the following:

File format must be .csv
File size must be under 10MB
Ensure proper column headers (Review, Liked)
Check for corrupted or incomplete CSV file

Analysis Errors

If analysis fails, verify:

Text encoding is UTF-8
Sentiment values are 0, 1, or 2
No completely empty rows in the CSV
At least one valid review with text content

No Results Displayed

If results don't appear:

Refresh the page and try again
Check browser console for errors (F12)
Ensure JavaScript is enabled
Try with a sample dataset first

📧 Support

For additional support and questions:

Visit our GitHub repository
Check the sample datasets on the Data page
Review this documentation for common solutions

📚 Documentation