https://github.com/designengineered/branding-analysis-tool
https://github.com/designengineered/branding-analysis-tool
Last synced: over 1 year ago
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- Host: GitHub
- URL: https://github.com/designengineered/branding-analysis-tool
- Owner: designengineered
- Created: 2024-01-12T05:54:58.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-12T06:02:24.000Z (over 2 years ago)
- Last Synced: 2025-01-14T06:44:17.414Z (over 1 year ago)
- Language: Python
- Size: 2.93 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Branding Guide CSV Analyzer and NLP Data Interpreter
This project is a tool for analyzing branding guide CSV files and interpreting NLP (Natural Language Processing) data related to branding.
## Table of Contents
- [Introduction](#introduction)
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
## Introduction
The Branding Guide CSV Analyzer and NLP Data Interpreter is designed to help businesses and organizations analyze their branding guide CSV files and interpret NLP data to gain insights into their brand perception and sentiment analysis.
## Features
- CSV file analysis: The tool provides functionality to analyze branding guide CSV files and extract relevant information such as brand guidelines, color palettes, typography, and more.
- NLP data interpretation: The tool utilizes NLP techniques to interpret text data related to branding, including sentiment analysis, keyword extraction, and topic modeling.
- Interactive visualizations: The tool generates interactive visualizations to present the analyzed data in a clear and intuitive manner.
## Installation
To install and use the Branding Guide CSV Analyzer and NLP Data Interpreter, follow these steps:
1. Clone the repository: `git clone https://github.com/laztaxon/branding-analysis-tool.git`
2. Navigate to the project directory: `cd branding-sheet_reader`
3. Install the required dependencies: `pip install -r requirements.txt`
## Usage
To use the Branding Guide CSV Analyzer and NLP Data Interpreter, follow these steps:
1. Prepare your branding guide CSV file and place it in the project directory.
2. Run the analyzer script: `analyze-branding.py`
3. Follow the on-screen instructions to select the CSV file and choose the desired analysis options.
4. View the generated visualizations and interpreted NLP data.
## Contributing
Contributions are welcome! If you would like to contribute to the Branding Guide CSV Analyzer and NLP Data Interpreter, please follow these steps:
1. Fork the repository.
2. Create a new branch: `git checkout -b feature/your-feature-name`
3. Make your changes and commit them: `git commit -m 'Add some feature'`
4. Push to the branch: `git push origin feature/your-feature-name`
5. Submit a pull request.
## License
This project is licensed under the [MIT License](LICENSE).