Grasper Project

A modern text analysis web application built with Flask and advanced NLP techniques.

Grasper is an advanced text analysis tool that provides insights from natural language data using state-of-the-art processing methods. It supports sentiment analysis, key phrase extraction, and entity recognition, within a user-friendly and responsive web interface.

• Sentiment Analysis: Detect and visualize sentiment (positive, negative, neutral) using deep learning models.
• Key Phrase Extraction: Automatic detection and highlighting of relevant keywords.
• Named Entity Recognition: Identification of persons, organizations, locations, and more.
• Dark/Light Mode: Easy switching for eye comfort.
• Responsive Design: Works across desktop, tablet, and mobile devices.

• Flask (Backend Framework)
• Transformers (NLP Models)
• KeyBERT (Keyword Extraction)
• spaCy (Named Entity Recognition)
• JavaScript (Frontend Interactivity)
• CSS (Styling)

• Python 3.8 or higher
• pip
• (Recommended) virtualenv for isolated environments

• Python 3.8 or higher
• pip (Python package manager)
• (Recommended) virtualenv for isolated environments

1. Clone the repository

   git clone https://github.com/YOUR_USERNAME/grasper-project.git
   cd grasper-project
   

2. Create and activate a virtual environment

   python -m venv .venv
   # Activate the environment:
   source .venv/bin/activate      # On Windows: .venv\Scripts\activate
   

3. Install dependencies

   pip install -r requirements.txt
   

1. Run the Flask development server:

   flask run
   

2. Open your browser to http://localhost:5000
3. Enter or upload text to see sentiment, key phrases, and entity results.

Input:

"OpenAI released a new version of GPT in San Francisco."

Output:

• Sentiment: Neutral
• Key Phrases: OpenAI, GPT, San Francisco
• Entities: Organization (OpenAI), Location (San Francisco)

grasper-project/ ├── app/ # Main application logic ├── static/ # CSS, JS, images ├── templates/ # HTML Jinja templates ├── requirements.txt ├── README.md └── ...

Contributions are welcome!

• Follow PEP8 coding style
• Use feature branches for new changes
• Please submit pull requests for review

Report bugs or suggestions via GitHub Issues.

Licensed under the MIT License.
See the LICENSE file for more details.

• Maintainer: YOUR NAME
• Email: your-email@example.com