Movie_Review_Sentiment_Analysis_App

? Movie Review Sentiment Analysis App

Analyze movie reviews effortlessly with this sentiment analysis app! This application uses the Google Gemini-1.5-flash-001 model for advanced natural language understanding to classify reviews as Positive, Negative, or Neutral. It also provides an explanation for the chosen sentiment, helping users better understand the analysis.

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? Features

• Sentiment Classification: Classifies movie reviews into Positive, Neutral, or Negative.
• Explanations: Provides clear reasoning for the sentiment classification.
• User-Friendly Interface: Built with Streamlit for an intuitive and interactive experience.
• Powered by AI: Leverages the state-of-the-art Google Gemini-1.5-flash-001 model for robust natural language understanding.

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Technologies Used

• Python: Backend logic and integration.
• Streamlit: Interactive web interface.
• Google Gemini Model: Advanced AI for sentiment analysis.
• dotenv: Securely load API keys.
• Google Generative AI SDK: Access Google Gemini APIs.

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Getting Started

Prerequisites

1. Python 3.9 or later.
2. A Google Cloud account with access to the Gemini-1.5-flash-001 model.
3. Streamlit installed on your machine.

Installation

1. Clone the repository:

   git clone https://github.com/your-username/movie-review-sentiment-analysis.git
   cd movie-review-sentiment-analysis

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows: venvScriptsactivate

3. Install the dependencies:

   pip install -r requirements.txt

4. Add your Google API key to a .env file

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Usage

1. Run the app locally:

   streamlit run app.py

2. Open the app in your browser at http://localhost:8501.

3. Enter a movie review in the text box and click "Analyze Sentiment" to see the sentiment and explanation.