Analyzing Key Attributes of Hilton Hotels in South Korea's Customer Experience and Satisfaction Using Online Review Data

The hospitality industry is constantly facing a number of issues, including growing customer demand for quality and the requirement to deliver comprehensive services. Understanding customer satisfaction is the most certain method to overcome these obstacles. The goals of this study are to examine Hilton hotel customers' satisfaction and experiences, as well as the main qualities and structural relationships between those important attributes. To achieve this goal, a total of 9893 Hilton hotel reviews were gathered from Google (google.com) across the country of South Korea. A frequency analysis using text mining was performed to determine the most frequently mentioned attributes. Furthermore, semantic network analysis was used to comprehend the hotel's customers' experiences and satisfaction

Publication Details

Journal
Umsida Repository (Universitas Muhammadiyah Sidoarjo)
Published
2025-02-07
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analyzing Key Attributes of Hilton Hotels in South Korea's Customer Experience and Satisfaction Using Online Review Data

Umsida Repository (Universitas Muhammadiyah Sidoarjo)
Magnetic confinement fusion research
article

Analyzing Key Attributes of Hilton Hotels in South Korea's Customer Experience and Satisfaction Using Online Review Data

article en

Abstract

The hospitality industry is constantly facing a number of issues, including growing customer demand for quality and the requirement to deliver comprehensive services. Understanding customer satisfaction is the most certain method to overcome these obstacles. The goals of this study are to examine Hilton hotel customers' satisfaction and experiences, as well as the main qualities and structural relationships between those important attributes. To achieve this goal, a total of 9893 Hilton hotel reviews were gathered from Google (google.com) across the country of South Korea. A frequency analysis using text mining was performed to determine the most frequently mentioned attributes. Furthermore, semantic network analysis was used to comprehend the hotel's customers' experiences and satisfaction

Umsida Repository (Universitas Muhammadiyah Sidoarjo)
Industry, innovation and infrastructure
Openalex Percentile: Top 38%
Magnetic confinement fusion research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.