Devising a Cross-Domain Model to Detect Fake Review Comments

Keyphrases

• Cross-domain Models 100%
• Review Comments 100%
• Fake Reviews 100%
• Classification Algorithms 50%
• Positive Reviews 50%
• Algorithm Accuracy 50%
• Text Features 50%
• Marketing Strategy 25%
• Positive Influence 25%
• Neural Network 25%
• Online Store 25%
• Stimulus-organism-response (S-O-R) 25%
• Seller 25%
• Cross-domain 25%
• Consumer Buying Behaviour 25%
• Word2vec 25%
• Sales Volume 25%
• Spammer 25%
• Random Forest Classification 25%
• Feature Weight 25%
• Cross-Domain Prediction 25%
• Word Count 25%
• Word Vector 25%
• Feature Network 25%
• Linguistic Inquiry 25%
• Online Reviews 25%
• Consumer Purchase Decision 25%
• Hotel Restaurant 25%
• Comprehensive Method 25%

Computer Science

• Classification Algorithm 100%
• Neural Network 50%
• Research Results 50%
• Random Decision Forest 50%
• Deep Neural Network 50%

Psychology

• Neural Network 100%