README.md

Tweet Sentiment analysis

About • Installation • How To Use •

About

This project aims to do tweets sentiment classification. We use epfl-ml-text-classification dataset.

Installation

Follow these steps:

0. (Optional) Create and activate new environment using conda or venv (+pyenv).

   a. conda version:

   # create env
   conda create -n project_env python=PYTHON_VERSION
   
   # activate env
   conda activate project_env

   b. venv (+pyenv) version:

   # create env
   ~/.pyenv/versions/PYTHON_VERSION/bin/python3 -m venv project_env
   
   # alternatively, using default python version
   python3 -m venv project_env
   
   # activate env
   source project_env

1. Install all required packages

   pip install -r requirements.txt

How To Use

Download the dataset from AIcrowd and put them inside a folder called data, at the root of the project. (/data/train_pos.txt for example)

You can then launch the jupyterlab environement to run the notebook with:

jupyter lab

Then run the cells inside the notebook finetuning.ipynb.

It contains the code that was used to fine-tune the model.