Data Centric Blockchain Based Evaluation Approach to Analyze E-Commerce Reviews Using Machine and Deep Learning Techniques DOI
Edward Mensah Acheampong, Shijie Zhou, Yongjian Liao

et al.

2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Journal Year: 2023, Volume and Issue: unknown, P. 1 - 5

Published: Dec. 15, 2023

Machine and deep learning techniques are now essential for many different kinds of solutions in areas, applications, businesses. Analyzing e-commerce reviews using machine can motivate a company to make more wise decisions regarding the quality services it offers. But issues occur if there is insufficient high-quality data training, scalability, upkeep models. To address these important issues, we suggest data-centric architecture that makes use blockchain Interplanetary File System (IPFS)-based storage. Our provides secure cost-effective storage an incentive mechanism. experiment shows as dataset gets bigger, Naïve Bayes (NB) Support Vector (SVM) models get 2% accurate, Convolutional Neural Network (CNN) model 4% Long Short-Term Memory (LSTM) 3 % accurate. The exhibited higher accuracy rates than because hidden layers possess ability extract intricate syntactic features from review text.

Language: Английский

Research on the Satisfaction Evaluation of the Elderly in “Virtual Nursing Home” Based on Grey Fuzzy Theory DOI

芳 周

Advances in Applied Mathematics, Journal Year: 2023, Volume and Issue: 12(11), P. 4593 - 4600

Published: Jan. 1, 2023

Language: Английский

Citations

0
The Effect of Chatbot Services on Online Shop Customer Satisfaction DOI Creative Commons

Cecep M Kappi Kappi,

Lina Marlina

Brilliance Research of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 3(2), P. 252 - 261

Published: Nov. 17, 2023

The increasing trend of e-commerce users has not been matched by customer satisfaction in the shopping process. Indonesia highest level dissatisfaction compared to other ASEAN countries. Although chatbot technology used as an aid optimize services, still occurs with regard agility, service assurance, reliability, scalability and security. purpose this study is determine services providing satisfaction. research approach uses quantitative explantory survey method. population online shop using rondom sampling, 175 respondents were collected. Assisted PLS SEM analysis tool. results show that social orientation contribute Likewise, personification makes a positive contribution

Language: Английский

Citations

0
Data Centric Blockchain Based Evaluation Approach to Analyze E-Commerce Reviews Using Machine and Deep Learning Techniques DOI
Edward Mensah Acheampong, Shijie Zhou, Yongjian Liao

et al.

2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Journal Year: 2023, Volume and Issue: unknown, P. 1 - 5

Published: Dec. 15, 2023

Machine and deep learning techniques are now essential for many different kinds of solutions in areas, applications, businesses. Analyzing e-commerce reviews using machine can motivate a company to make more wise decisions regarding the quality services it offers. But issues occur if there is insufficient high-quality data training, scalability, upkeep models. To address these important issues, we suggest data-centric architecture that makes use blockchain Interplanetary File System (IPFS)-based storage. Our provides secure cost-effective storage an incentive mechanism. experiment shows as dataset gets bigger, Naïve Bayes (NB) Support Vector (SVM) models get 2% accurate, Convolutional Neural Network (CNN) model 4% Long Short-Term Memory (LSTM) 3 % accurate. The exhibited higher accuracy rates than because hidden layers possess ability extract intricate syntactic features from review text.

Language: Английский

Citations

0