Bài báo quốc tế
CLASSIFICATION OF VIETNAMESE REVIEWS ON E-COMMERCE PLATFORMS
Phan Thị Hà
The research team used machine learning models to classify Vietnamese reviews on products on the e-commerce platform as positive or negative. To classify and evaluate the effectiveness of Support Vector Machine (SVM), Random Forest, Logistic Regression machine learning models on different platforms, the authors have built their own training and test data sets as well as a set of stopwords to classify Vietnamese web reviews [9]. This can then be applied to building a webapp that allows entering a link of any online products and then categorizing its user reviews, helping sellers evaluate their products/services, understand consumer behavior and make changes, improvements to the products accordingly.
Bài báo liên quan
Optimizing Resource Allocation for Dynamic IoT Requests Using Network Function Virtualization
Phạm Tuấn MinhExploring Linguistic Patterns through Machine Learning: Evidence from Logistic Regression Analysis
Nguyễn Minh TuấnEffective Multi-Stage Training Model For Edge Computing Devices In Intrusion Detection
Huỳnh Trọng Thưa