Implementation of Document Level Multi Aspect Sentiment Classification for Online Reviews of Medical Experts
Analyze hospital reviews using topic modeling (LDA) and sentiment analysis (XGBoost). This NLP project uncovers key themes in patient feedback and predicts sentiment to support healthcare service improvement. All code and results are in the analysis notebook.
This repository provides code for the study "A proposal for Kansei knowledge extraction method based on natural language processing technology and online product reviews".
Web scraper written with Scrapy to extract user reviews in German of organic and fair trade coffee brands
🎠Analyze hospital reviews from Google Maps with topic modelling and sentiment analysis to uncover themes and deliver actionable healthcare insights for researchers and providers alike.
Granite Reply is an AI-powered agent that reviews and replies to your customer's online feedback on a SaaS platform
This package aims to provide a platform for assessment of hotel online reviews. Datasets were collected from TripAdvisor and Booking.
A social network based pharmacovigilance.
ReviewSmart: A classifier to extract negative sentences from restaurant reviews and assign them to different labels
NetSpam – Academic project on spam detection in online shopping reviews
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