A food ordering android application with feedback analyzer to improve food suggestions to customer.

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Анализ отзывов на товары с Wildberries/OZON с Gemini API

Advanced AI-powered customer feedback analysis platform with custom-trained BERT models achieving 95.1% sentiment accuracy. Features real-time processing, RTX 4060 GPU acceleration, business intelligence dashboard, bulk CSV/PDF analysis with Gemini API, and Google Material Design 3.0 interface. Enterprise-grade solution for consumer feedback

A neural network model for sentiment analysis of movie reviews using IMDb dataset. The model is built using PyTorch and BERT as the feature extractor.

Java CLI to fetch Google Maps & Yelp reviews via SerpAPI — cache, CSV export, and rating stats. Frontend contributions welcome.

Turn WooCommerce reviews into clear, actionable insights without manual reading. This n8n workflow automation analyzes customer reviews using GPT-4, stores structured feedback in Airtable and sends concise sentiment summaries to Slack — helping teams spot issues, trends and wins faster with a flexible n8n workflow template.

Analyze customer reviews and perform batch sentiment prediction using Python, Streamlit, and pre-trained Transformer models.