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A Sentimental Analysis AI Webapp o recognize and tell you your mood

License: MIT License

Jupyter Notebook 99.36% Python 0.36% HTML 0.16% CSS 0.12%

sentiment-analysis's Introduction

VibeVerdict

A Sentimental Analysis AI Webapp to recognize and tell you your mood

Description

This is a web application that uses Natural Language Processing (NLP) to analyze the sentiment of user input. The app will take in text, perform an analysis using machine learning algorithms.

Installation

To run VibeVerdict locally, you can follow these steps:

1. Clone the Repository

git clone https://github.com/your-username/VibeVerdict.git
cd VibeVerdict

2. Create a Virtual Environment

It's recommended to use a virtual environment to isolate the project dependencies. Run the following commands to create and activate a virtual environment:

python -m venv venv
# On Windows: .\venv\Scripts\activate
# On macOS/Linux: source venv/bin/activate

3. Install Dependencies

Install the required dependencies from the requirements.txt file:

pip install -r requirements.txt

4. Build Documentation

For documentation updates, run the following command in the root directory:

sphinx-build -b html docs docs/documentation

5. Run the Web Application

Now you can run the VibeVerdict web application:

python app.py

The app will be accessible in your web browser at http://localhost:5000.

Usage

Once the app is running, you can use the sentiment analysis feature by entering text in the provided text box, clicking the "Analyze Sentiment" button, and viewing the results.

Configuration

Configure your app by editing the config.py file.

Contact

For any inquiries or feedback, please feel free to contact us:

sentiment-analysis's People

Contributors

rohitagr0310 avatar qaidjoharj53 avatar jain-anshika avatar jainankit0811 avatar

Watchers

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