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@RezaGooner RezaGooner released this 24 Mar 15:23
· 22 commits to main since this release
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🎉 Release: Persian Sentiment Analyzer v1.0

i'm excited to announce the official release of my Persian Sentiment Analysis Tool for product reviews! This tool automatically classifies Persian customer feedback into:
✅ Recommended | ❌ Not Recommended | 🤷 No Idea

✨ Key Features:

  • Accurate NLP Pipeline tailored for Persian text (Normalization, Stemming, Stopword Removal)
  • Word2Vec Embeddings trained on 450K+ Persian reviews
  • 75% Accuracy on large datasets
  • Ready-to-use predict_recommendation() API

🚀 Quick Start:

from model import predict_recommendation
print(predict_recommendation("این محصول عالیه!"))  # Output: "Recommended"

📊 Performance Highlights:

Dataset Accuracy
150K Reviews 60%
450K Reviews 75%

🖥️ Tested Hardware:

  • 2 vCPUs | 5GB RAM (Tested on DeepNote)

🔗 Get Started:

git clone https://github.com/RezaGooner/Sentiment-Survey-Analyzer.git
pip install -r requirements.txt

📌 Perfect for:

  • E-commerce platforms (Digikala, Snap, etc.)
  • Customer feedback analysis
  • Persian NLP research

Contribute/Report Issues: GitHub Issues


#NLP #PersianNLP #SentimentAnalysis #MachineLearning #Python