hotel-review-sentiments

Academic project for Advances in Data Science and Architecture course

Multilingual Deception Detection of GPT-generated Hotel Reviews

Hotel-Review-Sentiment-Analysis

Using R and text mining to mine sentiment from over 21,000 hotel reviews on resorts located in the Republic of Maldives.

Sample code demonstrating the use of stanford's CoreNLP to analyse sentiments of hotel reviews using the Restaurant reviews dataset from Kaggle.

Hackerearth Challenge 😃😃😃

Analysis of Hotel Booking Cancellation dataset using statistical model and provide predictions on future booking cancelations using Logistic regression model.

Sentiment analysis of hotel management reviews using logistic regression

Sentiment Analysis for a Hotel Based on Customer's Reviews

Analyzing customer reviews using NLP to suggest hotel improvements. WebApp: http://www.smarthotels.city

NLP Sentiment-Analyser

Production-ready NLP application for hotel review analysis, featuring sentiment classification, aspect-based insights, complaint detection, AI-generated summaries, and an interactive Streamlit dashboard.

Simple hypothesis testing and sentimental analysis for beginners

Sentimental Analysis on hotel reviews (NLP)

HotelSentinel is an NLP-driven sentiment intelligence system that analyzes hotel reviews to classify customer sentiment and uncover key experience drivers. It combines text preprocessing, TF-IDF feature engineering, imbalance handling, and supervised learning to support data-driven decisions for improving guest experience and hotel brand perception

data analysis on hotel reviews from booking.com

A small project automates the classification of customer ratings into Low or High categories using machine learning, enabling hotels to enhance customer satisfaction and retention based on insights derived from sentiment analysis.

Sentiment Analysis of Hotel Reviews using Transformers in Python

Python library for processing Chinese text

Hotel Review Classifier with BiLSTM