Machine learning for assessing quality of service in the hospitality sector based on customer reviews

TL;DR

This paper presents a machine learning framework that analyzes customer reviews from online hospitality platforms to automatically identify key quality of service aspects, aiding hotel management in service improvement.

Contribution

It introduces a novel NLP-based approach combining LDA and FastText for automatic extraction and visualization of service quality aspects from customer reviews.

Findings

Successfully extracted key service quality aspects from reviews

Enabled qualitative and quantitative assessment of hotel services

Demonstrated applicability on reviews from Bogotá and Madrid

Abstract

The increasing use of online hospitality platforms provides firsthand information about clients preferences, which are essential to improve hotel services and increase the quality of service perception. Customer reviews can be used to automatically extract the most relevant aspects of the quality of service for hospitality clientele. This paper proposes a framework for the assessment of the quality of service in the hospitality sector based on the exploitation of customer reviews through natural language processing and machine learning methods. The proposed framework automatically discovers the quality of service aspects relevant to hotel customers. Hotel reviews from Bogot\'a and Madrid are automatically scrapped from Booking.com. Semantic information is inferred through Latent Dirichlet Allocation and FastText, which allow representing text reviews as vectors. A dimensionality reduction technique is applied to visualise and interpret large amounts of customer reviews. Visualisations of the most important quality of service aspects are generated, allowing to qualitatively and quantitatively assess the quality of service. Results show that it is possible to automatically extract the main quality of service aspects perceived by customers from large customer review datasets. These findings could be used by hospitality managers to understand clients better and to improve the quality of service.