V1
🎉 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