Analysing Online Reviews Consumers’ Experiences of Mobile Travel Applications with Sentiment Analysis and Topic Modelling: The Example of Booking and Expedia
This study aims to analyse consumer experiences, purchase behaviours, and emotional responses through Booking and Expedia’s mobile applications. The 2000 user reviews collected from Google Play were subjected to a comprehensive sentiment analysis, text mining, and topic modelling process to identify...
Saved in:
| Main Authors: | Pınar Çelik Çaylak, Mehmet Kayakuş, Nisa Eksili, Fatma Yiğit Açikgöz, Artuğ Eren Coşkun, Mirona Ana Maria Ichimov, Georgiana Moiceanu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/24/11800 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sentiment classification of Chinese Weibo based on extended sentiment dictionary and organisational structure of comments
by: Zhongliang Wei, et al.
Published: (2022-12-01) -
Perceptions of the Future of Artificial Intelligence on Social Media: A Topic Modeling and Sentiment Analysis Approach
by: Ayse Ocal
Published: (2024-01-01) -
Emotional drivers of sustainable AI adoption: A sentiment analysis of early user feedback on the deepSeek app
by: Md Shamim Hossain
Published: (2025-12-01) -
Evaluating COVID-19 public discourse for sentiment, topic, and geolocation analysis
by: Festus A. Omojowo, et al.
Published: (2025-05-01) -
Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopic
by: Denilson de Oliveira Silva, et al.
Published: (2024-12-01)