Pairwise Reviews Ranking and Classification for Medicine E-Commerce Application

Keyphrases

• E-commerce Applications 100%
• Random Forest 100%
• Review Rating 100%
• Review Classification 100%
• Ranking Accuracy 100%
• Classification Accuracy 66%
• Classification Model 33%
• Phase Feature 33%
• Logistic Regression 33%
• Feature Extraction 33%
• Ranking Method 33%
• Impact-based 33%
• Relevance Ranking 33%
• Sorted List 33%
• Neural Network Regression 33%
• Review Relevance 33%
• Rank Classification 33%

Computer Science

• Commerce Application 100%
• Random Decision Forest 100%
• Ranking Accuracy 100%
• Research Paper 66%
• Classification Accuracy 66%
• Neural Network 33%
• Feature Extraction 33%
• Support Vector Machine 33%
• Classification Models 33%
• Logistic Regression 33%
• Relevance Ranking 33%