README.md

metadata

title: GTA VI Aspect-Based Sentiment Analysis
emoji: 🎮
colorFrom: pink
colorTo: purple
sdk: gradio
python_version: '3.11'
sdk_version: 4.24.0
app_file: app.py
pinned: false
tags:
  - sentiment-analysis
  - aspect-based-sentiment-analysis
  - gta-vi
  - huggingface
models:
  - alwanrahmana/aspect-detection-modernbert-base-logweight-FocalLoss
  - alwanrahmana/sentiment-classification-deberta-base

🎮 Aspect-Based Sentiment Analysis: GTA VI Edition 🚀

This project is an implementation of Aspect-Based Sentiment Analysis (ABSA) for GTA VI reviews using a combination of:

• 🐍 FastAPI — Backend REST API
• 📊 Streamlit — Web UI interface
• 🎛️ Gradio (opsional) — Prototyping UI
• 🤖 BERT Model — Aspect extraction & sentiment classification

---

📂 Project's Structure

aspect-based-sentiment-analysis-GTA-VI/
│
├── app/
│   └── inference/
│       ├── aspect_extraction/
│       │   └── model.py      <-- PredictAspect
│       └── sentiment_classification/
│           └── model.py      <-- PredictSentiment
│
├── main.py                  <-- Gradio app (your full UI + predict logic)
├── requirements.txt
├── README.md

---

🚀 How to Run

📦 Install Dependency

pip install -r requirements.txt

🔥 Run FastAPI (Backend API)

uvicorn app.api.main:app --reload

📍 Access on: http://127.0.0.1:8000/docs

🎛️ Run Streamlit (Frontend)

streamlit run streamlit/main.py

📍 Access on: http://localhost:8501

(Optional) 🎚️ Run Gradio Interface

python app/gradio/main.py

📦 Feature API POST /predict Body:

{
  "texts": ["text review"]
}
Response:

{
  "result": [
    {
      "text": "text review",
      "aspects": ["Visual Graphic", "Nostalgia"],
      "sentiments": ["positive", "neutral"]
    }
  ]
}

📑 Author

Alwan Rahmana S

• 🚀 GitHub: alwanrahmanas
• 📧 Email: alwanrahmana@gmail.com
• 💼 LinkedIn: Alwan Rahmana
• 🤗 Hugging Face: alwanrahmana