rzkyif/steam-absa

A web application for information retrieval, aspect extraction, and aspect-based sentiment analysis on Steam review data of multiple games.

steam-absa

A web application for information retrieval, aspect extraction, and aspect-based sentiment analysis on Steam review data of multiple games.

Requirements

• Python 3
• Node.js
• PNPM

Setup

Backend (be)

1. Enter the backend directory

    cd be
   

2. Setup virtual environment

    python -m venv .venv
   

3. Activate virtual environment

   On Windows:

    . .venv/Scripts/activate
   

   On Linux:

    . .venv/bin/activate
   

4. Install requirements

    pip install wheel 
    
    pip install hug waitress nltk scikit-learn spacy pandas numpy textblob
   
    python -m spacy download en_core_web_sm
   

5. (Optional) Set Visual Studio Code interpreter for development

   In the editor, when opening a Python file, set the interpreter to the virtual environment one by clicking the Python version number on the bottom right, selecting Enter interpreter path... and locating the Python interpreter at ./be/.venv/bin/python3.

6. Prepare engine database

    python main.py prepare
   

7. Start backend server

   Development w/ Hot Reload:

    hug -f main.py
   

   Production:

    waitress-serve --port=8000 main:__hug_wsgi__
   

Frontend (fe)

1. Enter the frontend directory

    cd fe
   

2. Install Node.js dependencies with PNPM

    pnpm install
   

3. Start frontend server

   Development w/ Hot Reload:

    pnpm dev
   

   Production:

    pnpm start