A food ordering android application with feedback analyzer to improve food suggestions to customer.
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Updated
Nov 26, 2020 - Java
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)
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.
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 with AI-driven sentiment insights to enhance strategies and improve brand perception. Ideal for marketing and operations teams.
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