A Tourism Knowledge Model through Topic Modeling from Online Reviews-Reference-Cited by-同舟云学术

A Tourism Knowledge Model through Topic Modeling from Online Reviews

Published:2021-01-15 Issue: Volume: Page:
ISSN:
Container-title:2021 7th International Conference on Computing and Data Engineering
language:
Short-container-title:

Author:

Hananto Valentinus R.¹,Serdült Uwe²,Kryssanov Victor³

Affiliation:

1. Graduate School of Information Science and Engineering, Ritsumeikan University, Japan and Department of Information System, Universitas Dinamika, Indonesia

2. College of Information Science and Engineering, Ritsumeikan University, Japan and Center for Democracy Studies Aarau (ZDA), University of Zurich, Switzerland

3. College of Information Science and Engineering, Ritsumeikan University, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3456172.3456211

Reference23 articles.

1. K. Anithakumari G. Sudhasadasivam T. Aruna and S. Christie Sajitha. 2013. Dynamic ontology construction for e-trading. In Advances in Intelligent Systems and Computing 439–449. https://doi.org/10.1007/978-3-642-31600-5_43 K. Anithakumari G. Sudhasadasivam T. Aruna and S. Christie Sajitha. 2013. Dynamic ontology construction for e-trading. In Advances in Intelligent Systems and Computing 439–449. https://doi.org/10.1007/978-3-642-31600-5_43

2. OntoCommerce: an ontology focused semantic framework for personalised product recommendation for user targeted e-commerce

3. Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identifying hidden patterns of fake COVID-19 news: An in-depth sentiment analysis and topic modeling approach;Natural Language Processing Journal;2024-03

2. A Text Segmentation Approach for Automated Annotation of Online Customer Reviews, Based on Topic Modeling;Applied Sciences;2022-03-27