Open Access
Issue |
E3S Web Conf.
Volume 500, 2024
The 1st International Conference on Environment, Green Technology, and Digital Society (INTERCONNECTS 2023)
|
|
---|---|---|
Article Number | 01005 | |
Number of page(s) | 9 | |
Section | Computer Science | |
DOI | https://doi.org/10.1051/e3sconf/202450001005 | |
Published online | 11 March 2024 |
- Hermawan, H. ; Wijayanti, A. Loyalty on Ecotourism Analysed Using the Factors of Tourist Attraction, Safety, and Amenities, with Satisfaction as an Intervening Variable; 2019; Vol. 8;. [Google Scholar]
- Mudarra-Fernández, A.B. ; Carrillo-Hidalgo, I. ; Pulido-Fernández, J.I. Factors Influencing Tourist Expenditure by Tourism Typologies: A Systematic Review. Anatolia 2019, 30, 18–34, doi:10.1080/13032917.2018.1495086. [CrossRef] [Google Scholar]
- Cronjé, D.F. ; du Plessis, E. A Review on Tourism Destination Competitiveness. Journal of Hospitality and Tourism Management 2020, 45, 256–265, doi:10.1016/j.jhtm.2020.06.012. [CrossRef] [Google Scholar]
- Shankar, A. ; Rishi, B. Convenience Matter in Mobile Banking Adoption Intention? Australasian Marketing Journal 2020, 28, 273–285, doi:10.1016/j.ausmj.2020.06.008. [CrossRef] [Google Scholar]
- Park, E. ; Kang, J. ; Choi, D. ; Han, J. Understanding Customers’ Hotel Revisiting Behaviour: A Sentiment Analysis of Online Feedback Reviews. Current Issues in Tourism 2020, 23, 605–611, doi:10.1080/13683500.2018.1549025. [CrossRef] [Google Scholar]
- Institut Teknologi 10 Nopember (Surabaya, I.F. of I. and C.Technology.D. of I.; Institute of Electrical and Electronics Engineers Proceedings of 2019 International Conference on Information & Communication Technology and Systems (ICTS): Surabaya, July 18th, 2019; ISBN 9781728121338. [Google Scholar]
- Guerreiro, J. ; Rita, P. How to Predict Explicit Recommendations in Online Reviews Using Text Mining and Sentiment Analysis. Journal of Hospitality and Tourism Management 2020, 43, 269–272, doi:10.1016/j.jhtm.2019.07.001. [CrossRef] [Google Scholar]
- Bachtiar, F.A. ; Paulina, W. ; Rusydi, A.N. TEXT MINING FOR ASPECT BASED SENTIMENT ANALYSIS ON CUSTOMER REVIEW: A CASE STUDY IN THE HOTEL INDUSTRY; 2020; [Google Scholar]
- Shah, K. ; Patel, H. ; Sanghvi, D. ; Shah, M. A Comparative Analysis of Logistic Regression, Random Forest and KNN Models for the Text Classification. Augmented Human Research 2020, 5, doi:10.1007/s41133-020-00032-0. [Google Scholar]
- Dwivedi, R.K. ; Saxena, A.Kr. ; Teerthanker Mahaveer University. College of Computing Sciences & Information Technology; Institute of Electrical and Electronics Engineers. Uttar Pradesh Section; Institute of Electrical and Electronics Engineers. Proceedings of the 2019 8th International Conference on System Modeling & Advancement in Research Trends: SMART-2019: (22nd-23rd November, 2019); ISBN 9781728132457. [Google Scholar]
- Al-Dhabyani, W. ; Fahmy, A. ; Gomaa, M. ; Khaled, H. Deep Learning Approaches for Data Augmentation and Classification of Breast Masses Using Ultrasound Images. International Journal of Advanced Computer Science and Applications 2019, 10, 618–627, doi:10.14569/ijacsa.2019.0100579. [CrossRef] [Google Scholar]
- Alam, S. ; Yao, N. The Impact of Preprocessing Steps on the Accuracy of Machine Learning Algorithms in Sentiment Analysis. Comput Math Organ Theory 2019, 25, 319–335, doi:10.1007/s10588-018-9266-8. [CrossRef] [Google Scholar]
- Arianto, D. ; Budi, I. Aspect-Based Sentiment Analysis on Indonesia’s Tourism Destinations Based on Google Maps User Code-Mixed Reviews (Study Case: Borobudur and Prambanan Temples); [Google Scholar]
- Aliyah Salsabila, N. ; Ardhito Winatmoko, Y. ; Akbar Septiandri, A. ; Jamal, A. Colloquial Indonesian Lexicon. In Proceedings of the Proceedings of the 2018 International Conference on Asian Language Processing, IALP 2018; Institute of Electrical and Electronics Engineers Inc., January 28 2019; pp. 226–229. [Google Scholar]
- Prastyo, P.H. ; Ardiyanto, I. ; Hidayat, R. Indonesian Sentiment Analysis: An Experimental Study of Four Kernel Functions on SVM Algorithm with TF-IDF. In Proceedings of the 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy, ICDABI 2020; Institute of Electrical and Electronics Engineers Inc., October 26 2020. [Google Scholar]
- Rácz, A. ; Bajusz, D. ; Héberger, K. Effect of Dataset Size and Train/Test Split Ratios in Qsar/Qspr Multiclass Classification. Molecules 2021, 26, doi:10.3390/molecules26041111. [CrossRef] [PubMed] [Google Scholar]
- Resa, M. ; Yudianto, A. ; Sukmasetya, P. ; Hasani, R.A. ; Sasongko, D. Pengaruh Data Preprocessing Terhadap Imbalanced Dataset Pada Klasifikasi Citra Sampah Menggunakan Algoritma Convolutional Neural Network. Technology and Science (BITS) 2022, 4, 1367–1375, doi:10.47065/bits.v4i3.2575. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.