Mobile application review classification for the Indonesian language using machine learning approach

Keyphrases

• Machine Learning Approach 100%
• Indonesian Language 100%
• User Reviews 100%
• Unigram 100%
• Mobile App Reviews 100%
• Review Classification 100%
• Bigram 66%
• F-measure 66%
• Mobile Application 66%
• Sentiment Score 66%
• Star Rating 66%
• Sentence Length 66%
• Experiment Results 33%
• Support Vector Machine 33%
• Decision Tree 33%
• Classification Performance 33%
• Negative Impact 33%
• Classification Algorithms 33%
• Logistic Regression 33%
• Negative Emotions 33%
• Number of Words 33%
• Nave Bayes 33%
• App Developers 33%
• App Development 33%
• Review Length 33%
• Logistics Decisions 33%
• Feature Extracting 33%
• Logistic Model Tree 33%
• Number of Users 33%
• Positive Emotions 33%
• Automatic Classification 33%

Computer Science

• Machine Learning Approach 100%
• Mobile Application 100%
• Logistic Regression 100%
• Sentence Length 100%
• Sentiment Score 100%
• Support Vector Machine 50%
• Classification Algorithm 50%
• Nave Bayes 50%
• Decision Trees 50%
• Negative Impact 50%
• Mobile App 50%
• Extracted Feature 50%
• Automatic Classification 50%
• Find Information 50%