Cross-ratio uninorms as an effective aggregation mechanism in sentiment analysis

Keyphrases

• Aggregation Behavior 20%
• Aggregation Mechanism 100%
• Aggregation Operators 20%
• Arithmetic Mean 20%
• Averaging Method 20%
• Classification Methods 40%
• Classification Performance 20%
• Classification Problem 20%
• Classification System 20%
• Cross-ratio 100%
• Different Datasets 20%
• Ensemble Averaging 20%
• Frequency Dictionaries 20%
• Human Intervention 20%
• Lexicon 80%
• Lexicon-based Approach 100%
• Lexicon-based Classification 20%
• Line Process 20%
• Machine Learning Classifiers 20%
• Maximum Entropy 20%
• Nave Bayes 20%
• Online Process 20%
• Operator Basis 20%
• Outcome Value 20%
• Performance Index 20%
• Result-oriented 20%
• Sentiment Analysis 100%
• Sentiment Lexicon 20%
• Specific Terms 20%
• Supervised Machine Learning 20%
• Uninorm 100%
• Uninorm Operator 60%
• Word Frequency 20%

Computer Science

• Analysis Context 25%
• Classification Method 50%
• Classification Performance 25%
• Classification Problem 25%
• Experimental Result 25%
• Human Intervention 25%
• Learning System 25%
• Lexicon-Based Approach 25%
• Machine Learning 25%
• Machine Learning Algorithm 25%
• Maximum Entropy 25%
• Nave Bayes 25%
• Sentiment Analysis 100%

Mathematics

• Arithmetic Mean 25%
• Classification Method 50%
• Classification Problem 25%
• Cross ratio 100%
• Maximum Entropy 25%
• Nave Bayes 25%
• Opinion Mining 100%
• Outcome Value 25%
• Word Frequency 25%