NLP Multi-class classifcation of hotel reviews, with demo app. Please check README for more details.

NTU NLP 2017 Term Project 1 - Hotel Review Opinion Mining

Research of NLP on top of Hotel reviews - sentiment analysis

NLP Project for SDAIA T5 Data Science Bootcamp. This project consists of sentiment analysis for hotel reviews and classification algorithms based on that. Also, the project has word clustering models and a hotel recpmmendation system based on the nationalities and the reviewers' scores.

Web-based travel scheduling and booking has become one of the major commercial uses.Hotel booking websites use online rating and customer input to support the decision-making process of the client, but reviews provide a better insight into the hotel, but most travelers do not have time or patience to read all reviews. This research analyzes the ratings of hotels and provides information that may miss. The comments and metadata are crawled from the website and grouped according to some specific aspects into pre-defined categories.Here, we try to make efficient reviews sentiment analysis on “booking.com” hotel reviews and apply NLP to pre-processing of data. After that identifying the subjective information in text and classifying each piece of data as positive, negative and neutral response. This pre-processing data convert into vector and apply convolution neural network(CNN) algorithm on vector matrix and outcomes of CNN represent as pie-chart and bar-chart using Django library. This chart are define base on categories like room, food, cleanliness, service, staff, nature view, facilities.

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Applied NLP techniques and SAS modelling to perform sentiment analysis on hotel reviews and build a model to predict hotel rating.

End-to-end NLP and LLM system built for Hotel De la Promenade. It combines customer review analytics, a RAG-based assistant for factual responses, and a fine-tuned model aligned with the hotel’s brand voice. The project demonstrates applied ML, vector search, prompt engineering, and robustness evaluation in a real hospitality setting.

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NLP based customer review analysis and hotel management system

Using sentiment analysis to analyze 515K European hotel reviews (NLP, Naive Bayes Classifier, seaborn)

Sentiment Analysis Of Hotel Reviews Online Using Logistic Regression (NLP)

Utilizing NLP/nltk to build a simple vegas hotel recommendation app using guest reviews' sentiments

In this notebook I've build a nlp/machine learning model that classify hotel-reviews.

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

Detecting Fake Reviews

hotel reviews (NLP)

NLP analysis on Hotel reviews

Understanding Hotel Attributes that Influence Traveler Choice - NLP

Course project for NLP

Used Bag of Word Model to predict if the Review is Positive or Negative

A well-known hotel wants to know reviews of visitor satisfaction with the hotel. This will be used as a reference to improve the quality and facilities of the hotel according to the wishes of visitors.

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All resources that I used for NLP Project - Data Science Bootcamp @fullstackbangalore | Demo App https://share.streamlit.io/gardenialionita/nlp-hotel-review/main/app.py

Final project in NLP course at haddasah Academic College

NLP case study on Booking.com reviews — multilingual insights (EN/DE/FR) with a reproducible pipeline, reports by city, and business-focused summaries.

Hotel Review Classification

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The goal of this project is to use Natural Language Processing (NLP) techniques to analyze hotel reviews and gain insights into customer opinions and experiences to classify hotel reviews.