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)
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.
A modern AI-powered web application for real-time customer review sentiment classification with an interactive dashboard and 97.3% model accuracy using TF-IDF and Logistic Regression.
Java CLI to fetch Google Maps & Yelp reviews via SerpAPI — cache, CSV export, and rating stats. Frontend contributions welcome.
Analyze customer reviews and perform batch sentiment prediction using Python, Streamlit, and pre-trained Transformer models.
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