Keyphrases
Machine Learning Models
100%
Electronic Commerce
100%
Hierarchical Approach
100%
Product Classification
100%
Machine Learning Algorithms
66%
Latin America (LATAM)
33%
Multinomial Logistic Regression
33%
Spanish Language
33%
F1 Score
33%
Classification Approach
33%
XGBoost
33%
Comparative Analysis
33%
Classification Basis
33%
Hybrid Method
33%
Direct Influence
33%
Preprocessing Techniques
33%
Random Voting
33%
Academic Community
33%
E-commerce Platform
33%
Regression Forest
33%
High Granularity
33%
Level Model
33%
Multinomial Naïve Bayes
33%
Hierarchical Product
33%
Linear Support Vector Classifier
33%
Random Forest Ensemble
33%
Operational Profitability
33%
Bayes Linear
33%
Four-level
33%
Voting Ensemble
33%
Local Classifier
33%
Regional Approach
33%
Classification Process
33%
Premier
33%
Hierarchical Classification
33%
Taxonomic Uncertainty
33%
Product Dataset
33%
Electronic Products
33%
Single Approach
33%
Local Approach
33%
FastText
33%
Operational Efficiency
33%
Computer Science
Machine Learning Algorithm
100%
Machine Learning
100%
Learning System
100%
classification approach
50%
Extreme Gradient Boosting
50%
Logistic Regression
50%
Classification Process
50%
Support Vector
50%
Academic Community
50%
Random Decision Forest
50%
Comparative Analysis
50%
Electronic Product
50%
Operational Efficiency
50%
Hybrid Approach
50%
Granularity
50%
Preprocessing Technique
50%
Engineering
Limitations
100%
Machine Learning Algorithm
100%
Learning System
100%
Random Forest
50%
Comparative Analysis
50%
Electronic Product
50%
Granularity
50%
Hybrid Approach
50%
Operational Efficiency
50%
Local Approach
50%
Classification Process
50%
Level Model
50%
Support Vector Machine
50%
Chemical Engineering
Support Vector Machine
25%