Academic project for Advances in Data Science and Architecture course

Multilingual Deception Detection of GPT-generated Hotel Reviews

Hotel-Review-Sentiment-Analysis

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

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

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

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

NLP Sentiment-Analyser

Sentiment Analysis for a Hotel Based on Customer's Reviews

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

data analysis on hotel reviews from booking.com

Sentimental Analysis on hotel reviews (NLP)

Simple hypothesis testing and sentimental analysis for beginners

AIR_BNB_hotel--EDA

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

Python library for processing Chinese text