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.

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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.

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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.

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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.

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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.

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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.