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Ming-Shien Cheng
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2020 – today
- 2024
- [c33]Te Yu Liao, Yu Chih Kao, Ming-Shien Cheng, Ping Yu Hsu:
Analyzing the Online Reviews to Explore Recent Trends of the U.S. Automotive Industry by Latent Dirichlet Allocation Method. ICSI 2024: 437-448 - 2023
- [c32]Yang Ruei Jheng, Ping-Yu Hsu, Jiu Zhong Chen, Ming-Shien Cheng, Yu-Chun Chen:
Identifying Influential Social Impact Websites with HITS Algorithms. HCI (15) 2023: 68-82 - [c31]Singh Ratna, Ping-Yu Hsu, You-Sheng Shih, Ming-Shien Cheng, Yu-Chun Chen:
Predicting Maize Yields with Satellite Information. IUKM (1) 2023: 187-198 - [c30]Farukh Hamza, Ping-Yu Hsu, Wan-Yu Yang, Ming-Shien Cheng, Yu-Chun Chen:
Identifying Topics on Social Impact from S&P1500 CSR/ESG Reports. IUKM (2) 2023: 243-254 - 2022
- [c29]Ni Xu, Yu-Hsuan Chen, Ping-Yu Hsu, Ming-Shien Cheng, Chi-Yen Li:
Recommendation Model for Tourism by Personality Type Using Mass Diffusion Method. HCI (5) 2022: 80-95 - [c28]Chu-Chien Wu, Ping-Yu Hsu, Ni Xu, Ming-Shien Cheng, Yen-Yu Chen:
Prediction of Personality Traits Through Instagram Photo HSV. HCI (2) 2022: 279-287 - [c27]Cong-Han Zheng, Ping-Yu Hsu, Ming-Shien Cheng, Ni Xu, Yu-Chun Chen:
Predicting Infection Area of Dengue Fever for Next Week Through Multiple Factors. IEA/AIE 2022: 77-88 - 2021
- [c26]Cheng-Yu Lee, Ping-Yu Hsu, Ming-Shien Cheng, Jun-Der Leu, Ni Xu, Bo-Lun Kan:
Using Machine Learning to Predict Salaries of Major League Baseball Players. IEA/AIE (2) 2021: 28-33 - 2020
- [c25]Chen-Shan Wei, Ping-Yu Hsu, Chen Wan Huang, Ming-Shien Cheng, Grandys Frieska Prassida:
Devising a Cross-Domain Model to Detect Fake Review Comments. ICCCI (CCIS Volume) 2020: 714-725 - [c24]Hong Tsuen Lei, Ping-Yu Hsu, Ming-Shien Cheng:
Key Factors for Suppliers of Gaming Notebook Keyboards with AHP. ICS 2020: 316-318 - [c23]Ying-Chia Peng, Ming-Shien Cheng, Ping-Yu Hsu:
Constructing an Integrated Classifiers for Identifying Authenticity and Sentiment Analysis- A Case of Hotel Reviews. ICS 2020: 319-324
2010 – 2019
- 2019
- [c22]Yen-Huei Ko, Ping Yu Hsu, Ming-Shien Cheng, Yang Ruei Jheng, Zhi Chao Luo:
Customer Retention Prediction with CNN. DMBD 2019: 104-113 - [c21]Ping Yu Hsu, Chen Wan Huang, Ming-Shien Cheng, Yen-Huei Ko, Cheng-Han Tsai, Ni Xu:
Exploring Frequent Itemsets in Sweltering Climates. DMBD 2019: 240-247 - [c20]Pin-Hsuan Huang, Ping-Yu Hsu, Ming-Shien Cheng, Chen Wan Huang, Ni Xu:
The Relationship Between Sentiments of Social Media and Economic Indicators. MIKE 2019: 62-71 - [c19]Hao-Hsun Li, Ming-Shien Cheng, Ping-Yu Hsu, Yen-Huei Ko, Zhi Chao Luo:
Exploring Chinese Dynamic Sentiment/Emotion Analysis with Text Mining - Taiwanese Popular Movie Reviews Comment as a Case. MIKE 2019: 84-93 - 2018
- [c18]Jou Yu Chen, Ping Yu Hsu, Ming-Shien Cheng, Hong Tsuen Lei, Shih-Hsiang Huang, Yen-Huei Ko, Chen Wan Huang:
Investigating Deciding Factors of Product Recommendation in Social Media. ICSI (2) 2018: 249-257 - [c17]Yen Tzu Chao, Ping Yu Hsu, Ming-Shien Cheng, Hong Tsuen Lei, Shih-Hsiang Huang, Yen-Huei Ko, Grandys Frieska Prassida, Chen Wan Huang:
Investigating the Effectiveness of Helpful Reviews and Reviewers in Hotel Industry. ICSI (2) 2018: 305-313 - [c16]Yen Hao Kao, Ping Yu Hsu, Ming-Shien Cheng, Hong Tsuen Lei, Shih-Hsiang Huang, Yen-Huei Ko, Chen Wan Huang:
Investigating the Relationship Between the Emotion of Blogs and the Price of Index Futures. ICSI (2) 2018: 423-431 - [c15]Ping Yu Hsu, Chen Wan Huang, Shih-Hsiang Huang, Pei Chi Chen, Ming-Shien Cheng:
A Novel Model for Finding Critical Products with Transaction Logs. ICSI (2) 2018: 432-439 - 2017
- [c14]Shih Yun Weng, Ping Yu Hsu, Ming-Shien Cheng, Phan-Anh-Huy Nguyen:
The Impact of User Sentiment Aroused by The-Day-of-the-Week on the Recommendation Effectiveness in Microblog. ACIIDS (Extended Posters) 2017: 355-366 - [c13]Ping-Yu Hsu, Ming Chia Hsu, Tien-Hao Wei, Yao-Chung Lo, Chin-Chun Lo, Ming-Shien Cheng, Hong Tsuen Lei:
Effects of Event Sentiment on Product Recommendations in a Microblog Platform. ICSI (2) 2017: 119-131 - [c12]Chia Hsun Lin, Ping-Yu Hsu, Ming-Shien Cheng, Hong Tsuen Lei, Ming Chia Hsu:
Identifying Deceptive Review Comments with Rumor and Lie Theories. ICSI (2) 2017: 412-420 - [c11]Mei Yu Lin, Ping Yu Hsu, Ming-Shien Cheng, Hong Tsuen Lei, Ming Chia Hsu:
Identifying Fake Review Comments for Hostel Industry. ICSI (2) 2017: 421-429 - [c10]Hui Chi Chen, Ping Yu Hsu, Ming-Shien Cheng, Hong Tsuen Lei, Ching-Fen Wu:
An Exploratory Study of Factors Affecting Number of Fans on Facebook Based on Dialogic Theory. ICSI (2) 2017: 538-546 - 2016
- [c9]Ching-Yi Chen, Ping-Yu Hsu, Ming-Shien Cheng, Jui Yi Chung, Ming Chia Hsu:
Discovering Alias for Chemical Material with NGD. ICSI (2) 2016: 123-131 - [c8]Su-Tzu Hsieh, Ping-Yu Hsu, Ming-Shien Cheng, Hui-Ting Huang:
Pushing Decision Points Backward to the Latest Possible Positions with a Workflow Log. ICSI (2) 2016: 298-305 - 2015
- [c7]Wei Chi Cheng, Ping Yu Hsu, Ming-Shien Cheng, Shih-Hsiang Huang:
Tuning GSP Parameters with GA. IScIDE (2) 2015: 159-170 - [c6]Tien Chang, Ping Yu Hsu, Ming-Shien Cheng, Chen-Yao Chung, Yi Liang Chung:
Detecting Fake Review with Rumor Model- Case Study in Hotel Review. IScIDE (2) 2015: 181-192 - 2014
- [c5]Ping Han Lei, Pingyu Hsu, Ming-Shien Cheng:
Identify the Online Product Comments with Suspicious Chinese Content. PAISI 2014: 49-64 - [c4]Ming-Shien Cheng, Pingyu Hsu:
Automatically Explore Inter-Discipline Technology from Chinese Patent Documents. PAISI 2014: 65-77 - 2013
- [c3]Yu-Cheng Chuang, Pingyu Hsu, MinTzu Wang, Ming-Te Lin, Ming-Shien Cheng:
User Distributions in N-Tier Platform with Effective Memory Reusability. MIWAI 2013: 50-58 - 2011
- [c2]Ping Ju Hung, Ping Yu Hsu, Ming-Shien Cheng, Chih-Hao Wen:
Web Text Clustering with Dynamic Themes. WISM (2) 2011: 122-130 - 2010
- [c1]Chih-Chu Chang, Ming-Shien Cheng, Ping-Yu Hsu:
Effective Storage Structure for Multi-version XML Documents. FGIT 2010: 249-266
Coauthor Index
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last updated on 2024-08-29 21:00 CEST by the dblp team
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