Sentiment Analysis of Product Reviews to Identify Deceptive Rating Information in Social Media: A SentiDeceptive Approach

Keyphrases

• Amazon 33%
• Annotation Process 33%
• Automated Tool 33%
• Business Online 33%
• Buying 33%
• Coding Guidelines 33%
• Content Analysis Approach 33%
• Cross-validation Method 33%
• Customer Emotion 33%
• Customer Feedback 33%
• F-measure 33%
• Flipkart 33%
• K-fold 33%
• Labeled Data 33%
• Machine Learning Algorithms 33%
• Machine Learning Classifiers 33%
• Motivation 33%
• Nutshell 33%
• Online Shopping 66%
• Online Users 33%
• Perfume 33%
• Positive Emotions 33%
• Product Analysis 100%
• Product Reviews 100%
• Product-specific 66%
• Rating Data 100%
• Resampling 33%
• Sentiment Analysis 100%
• Shoes 33%
• Shop Online 33%
• Social Media 100%
• Social Media Platforms 100%
• Special Characters 33%
• Stop Words 33%
• Term Frequency-inverse Document Frequency (TF-IDF) 33%
• Text Data 33%
• Undersampling 33%
• User Comments 66%
• User Feedback 33%
• User Opinion 66%
• User Ratings 33%
• User Reviews 33%
• VADER 33%
• Web Application 33%

Computer Science

• Annotation 33%
• Automated Tool 33%
• Content Analysis 33%
• Customer Feedback 33%
• Decision-Making 33%
• Labeled Data Set 33%
• Learning System 33%
• Machine Learning 33%
• Machine Learning Algorithm 33%
• Sentiment Analysis 100%
• Social Medium Platform 100%
• Special Character 33%
• Web Application 33%