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Sentiment Analysis Tool

A web-based sentiment analysis tool that analyzes text input or CSV files to determine positive and negative sentiments. It visualizes the sentiment analysis results using charts and lists.

Features

  • Analyze individual text inputs for sentiment (positive/negative) and sentiment score.
  • Upload and analyze CSV files containing reviews or comments.
  • Visualize sentiment distribution using an interactive pie chart.
  • Display detailed positive and negative review lists.

Prerequisites

  1. Python 3.x
  2. Flask: Install via pip install flask.
  3. Pandas: Install via pip install pandas.
  4. Plotly: Install via pip install plotly.

Setup Instructions

  1. Clone this repository and navigate to the project folder: 
    git clone <repository_url>
cd sentiment-analysis-tool
  2. Install the required Python libraries: 
    pip install -r requirements.txt
  3. Run the Flask application: 
    python app.py
  4. Open the tool in your browser at http://127.0.0.1:5000.

Usage

Text Analysis

  1. Enter text in the input field.
  2. Click "Analyze Text" to get the sentiment and score. The analyze_sentiment function processes the text and returns: Sentiment label (Positive or Negative). Sentiment score for detailed insights.

CSV Analysis

  1. Upload a CSV file containing reviews/comments.
  2. View the count of positive/negative reviews and sentiment breakdown in a pie chart.

Technologies Used

  1. Backend Flask: Python-based web framework.
  2. Frontend HTML/CSS: Responsive web design. Bootstrap: UI styling. Plotly.js: Interactive pie chart visualization.
  3. Libraries Pandas: For data manipulation. Plotly: For visualizations. Flask: Web server.