EIT
"Text Extraction" project - Polytech ET5 IT - Noted for S9 (2021-2022)
The goal is to determine the sentiment behind a tweet using Natural Language Processing thanks to PyTorch.
Getting Started
These instructions will get you a copy of the project up and running on your local machine for development purpose.
Prerequisites
Things you need to install the project :
- Jupyter
- Python 3
- PyTorch library
- Scikit-Learn library
- NumPy library
- spaCy library
- Matplotlib library
Running
Here are some instructions on how to get the development env running.
First, clone this repository with the following command :
$ git clone https://github.com/0xWryth/EIT.git
Then, after moving into the /EIT folder just created, start Jupyter using :
$ jupyter notebook
or
> jupyter-notebook.exe
if you are a Windows user.
This should open up your browser (if it doesn't, visit 127.0.0.1:8888), and you should see Jupyter's tree view, with the contents of the current directory.
Dataset
The file train_label_final.txt has been created by class students. Each line is an annotated tweet. Our model only processes 'consensus' annotated lines.
Built with
