https://github.com/londheshubham153/aston_sit_hackathon_nlp_track
Detection of sentiments and fine-grained emotions about the disaster management from the tweets.
https://github.com/londheshubham153/aston_sit_hackathon_nlp_track
Last synced: 9 days ago
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Detection of sentiments and fine-grained emotions about the disaster management from the tweets.
- Host: GitHub
- URL: https://github.com/londheshubham153/aston_sit_hackathon_nlp_track
- Owner: LondheShubham153
- Created: 2022-05-17T15:01:49.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-05-17T16:13:50.000Z (almost 3 years ago)
- Last Synced: 2025-04-01T19:21:35.178Z (29 days ago)
- Language: Jupyter Notebook
- Size: 5.49 MB
- Stars: 3
- Watchers: 3
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
[![MIT License][license-shield]][license-url]
[![LinkedIn][linkedin-shield]][linkedin-url]
Disaster Sentiment Analysis
We all tweet our thoughts without thinking whether they carry positive or negative sentiment.
This app by Data Wizards will allow user to analyse their text/tweet if it has a Positive or negative sentiments involved in terms of Disasters around the world.
View Demo
·
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·
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## Table of Contents
* [About the Project](#about-the-project)
* [Built With](#built-with)
* [Getting Started](#getting-started)
* [Prerequisites](#prerequisites)
* [Installation](#installation)
* [Usage](#usage)
* [Roadmap](#roadmap)
* [Contributing](#contributing)
* [License](#license)
* [Contact](#contact)
## About The Project
### Built With
This application is built with love, dedication, coffee and:
* [sklearn](https://pypi.org/project/aiohttp/)
* [nlp](https://www.sqlite.org/index.html)
## Getting Started
To get a local copy up and running follow these simple example steps.
### Prerequisites
* python
```sh
python --version
```
### Installation
1. Get a free API Key at [https://www.linkedin.com/in/shubhamlondhe1996/](https://www.linkedin.com/in/shubhamlondhe1996/)
2. Clone the repo
```sh
git clone https://github.com/LondheShubham153/aston_sit_hackathon_nlp_track
```
3. Install python packages
```sh
pip install -r requirements.txt
```
4. Test the application
```python
pytest
```
5. Run the application
```python
python app.py
```
## Usage
_For more examples, please refer to the [Documentation](https://github.com/LondheShubham153/aston_sit_hackathon_nlp_track)_
## Roadmap
See the [open issues](https://github.com/LondheShubham153/aston_sit_hackathon_nlp_track/issues) for a list of proposed features (and known issues).
## Contributing
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.
1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request
## License
Distributed under the MIT License. See `LICENSE` for more information.
## Contact
Shubham Londhe - [shubhamlondhe1996](https://www.linkedin.com/in/shubhamlondhe1996/) - My LinkedIn
[license-shield]: https://img.shields.io/github/license/othneildrew/Best-README-Template.svg?style=flat-square
[license-url]: https://github.com/othneildrew/Best-README-Template/blob/master/LICENSE.txt
[linkedin-shield]: https://img.shields.io/badge/-LinkedIn-black.svg?style=flat-square&logo=linkedin&colorB=555
[linkedin-url]: https://www.linkedin.com/in/shubhamlondhe1996/
[product-screenshot]: images/search.png