Can end-user feedback in social media be trusted for software evolution: Exploring and analyzing fake reviews

Keyphrases

• Accuracy Measure 9%
• Analytic Method 9%
• Analytic Tools 9%
• App Rating 9%
• App Store 18%
• Automated Deep Learning 9%
• AutoML 9%
• Bannu 9%
• Can End 100%
• Deep Learning Classifiers 45%
• Detailed Survey 9%
• End-user Feedback 100%
• F-measure 9%
• Fake Reviews 100%
• Google Play Store 18%
• Machine Learning Classifiers 45%
• Pakistan 9%
• Positive Feedback 9%
• Precision Accuracy 9%
• Precision Measure 9%
• Precision-recall 9%
• Professional Use 9%
• Recall Measures 9%
• Requirements Engineering 9%
• Research Datasets 9%
• Social Media 100%
• Social Media Platforms 9%
• Software Engineering 9%
• Software Evolution 100%
• Software Maintenance 9%
• Software Ranking 9%
• Software Vendors 9%
• Testimonials 9%
• Text Analytics 9%
• User Comments 9%
• User Reviews 9%

Computer Science

• Analytics Tool 20%
• Average Accuracy 20%
• Common Pattern 20%
• Deep Learning Method 100%
• Experimental Result 20%
• Exploratory Study 20%
• Learning System 100%
• Machine Learning 100%
• Requirement Engineering 20%
• Social Media 100%
• Software Engineering 20%
• Software Evolution 100%
• Software Maintenance 20%
• Software Vendor 20%
• Text Analytics 20%