Skip to main navigation
Skip to search
Skip to main content
Aston Research Explorer Home
Help & FAQ
Link opens in a new tab
Search content at Aston Research Explorer
Home
Research units
Profiles
Research Outputs
Datasets
Student theses
Activities
Press/Media
Prizes
Equipment
An improved model for sentiment analysis on luxury hotel review
Victor Chang
, Lian Liu
, Qianwen Xu
, Taiyu Li
, Ching Hsien Hsu
*
*
Corresponding author for this work
Aston Business School
Operations and Service Management
Xi’an Jiaotong-Liverpool University
Teesside University
Asia University
China Medical University Hospital
Research output
:
Contribution to journal
›
Article
›
peer-review
66
Link opens in a new tab
Citations (SciVal)
390
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'An improved model for sentiment analysis on luxury hotel review'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Sentiment Analysis
100%
Luxury Hotels
100%
Hotel Reviews
100%
Visual Analytics
75%
Hotels
50%
Multimedia Analytics
50%
Spain
25%
Statistical Analysis
25%
World Wide Web
25%
Data Visualization
25%
Spatial Data
25%
Heuristic Model
25%
Data Management
25%
Classification Methods
25%
Marketing Insight
25%
Feature Selection
25%
Location Choice
25%
Whole Process
25%
High-dimensional Data
25%
Integrated Analytics
25%
Data Preprocessing
25%
Statistical Data
25%
Large Amount of Data
25%
Social Media
25%
Staff Training
25%
Sentiment Distribution
25%
Review Sentiment
25%
Decision-making Information
25%
Full Use
25%
Receiver Operating Characteristic
25%
Hotel Employees
25%
Random Forest Classification
25%
Feature Engineering
25%
Cleanness
25%
Classification Data
25%
Statistical Analytics
25%
Doc2Vec
25%
Precision-recall Curve
25%
Information Analytics
25%
Collection Data
25%
Term Frequency-inverse Document Frequency (TF-IDF)
25%
Hotel Service Quality
25%
Luxury Hotel Service
25%
Sentiment Analysis Model
25%
Feature Generation
25%
Improve Customer Satisfaction
25%
Spatial Analytics
25%
World Scale
25%
Analysis Visualization
25%
Computer Science
Sentiment Analysis
100%
Multimedia
40%
Decision-Making
20%
Computer Hardware
20%
Feature Extraction
20%
Scientific Visualization
20%
Analysis Model
20%
Feature Selection
20%
Geospatial Data
20%
Customer Satisfaction
20%
High Dimensional Data
20%
Extracted Data
20%
Classification Method
20%
Visual Analysis
20%
Hidden Information
20%
Essential Feature
20%
Visual Analytics
20%
Data Management
20%
Random Decision Forest
20%
Data Preprocessing
20%
Training Staff
20%
Inverse Document Frequency
20%
Feature Generation
20%
Feature Engineering
20%
Engineering
Opinion Mining
100%
Hotels
100%
Engineering
12%
Frequency Term
12%
Feature Extraction
12%
Data Visualization
12%
Customer Satisfaction
12%
Receiver Operating Characteristic
12%
Essential Feature
12%
Classification Method
12%
Dimensional Data
12%
Random Forest
12%
Data Preprocessing
12%
Economics, Econometrics and Finance
Marketing
100%