Multilingual Deception Detection of GPT-generated Hotel Reviews

Modern hotel review sentiment analysis with interactive GUI, AI explanations, and educational features. Python/ML/NLP project.

Wanderlust is a modern hotel renting platform built with Node.js, Express.js, MongoDB, and EJS, designed to deliver an intuitive and seamless experience for travelers and hotel owners alike.

This project analyzes 1,500 customer reviews from Booking.com for La Veranda Hotel (Larnaca, Cyprus) using Natural Language Processing (NLP). It performs sentiment scoring, topic modeling (LDA), and geographic sentiment analysis to uncover actionable insights that can improve hospitality operations and marketing strategy. Built using Orange.

Software that fits how you actually work. Makers of https://www.reviato.com

Fast TripAdvisor hotel reviews scraper using GraphQL API + curl_cffi TLS fingerprinting. No browser automation needed.

Transformer-based modeling of hotel review text to predict star ratings (1–5), evaluate ordinal classification performance, and analyze sentiment separability through embedding-based clustering.

Sentiment Analysis of hotel reviews by using Word Embedding, CNN, RNN

Text summarization of Hotel reviews using Huggingface Transformers T5 and Bart

Scraping hotel reviews from TripAdvisor pages - Final Project for CSCI 2930 Unix Tools

Developer docs + free sample dataset for the Trip.com & Ctrip (携程) Hotel Reviews Scraper on Apify - sub-ratings, owner responses, reviewer geo, LLM-ready markdown.

Turn hotel guest reviews into actionable insights. Scrapes ratings and reviews from Booking.com, TripAdvisor, Google, Expedia, and HolidayCheck, classifies them by topic and sentiment, and visualizes trends in a Streamlit dashboard.

Software that fits how you actually work. Makers of https://www.reviato.com

Develops a supervised machine learning pipeline to predict hotel review scores using structured metadata. Includes exploratory analysis, feature engineering, and model evaluation across Linear Regression, Random Forest, and XGBoost. Designed for reproducibility, interpretability, and portfolio presentation.

Hotel IQ is a full-stack platform for analyzing hotel reviews and business data. Built with Angular 19, FastAPI, Power BI, and AI (OpenAI GPT-4o) for sentiment analysis. Visualize KPIs, explore reviews, and generate customer satisfaction insights. 100% French interface.

An exercise using Python in hotel review data to determine the qualities of a hotel stay that contribute to greater customer satisfaction and higher ratings for a fictitious Hotel Management Inc.

HRS Reviews hotel analytics

Priceline hotel reviews extraction