A domain transferable lexicon set for Twitter sentiment analysis using a supervised machine learning approach

Keyphrases

• Lexicon 100%
• Supervised Machine Learning 100%
• Twitter 100%
• Twitter Analysis 100%
• Machine Learning System 75%
• Sentiment Classification 50%
• Generic Features 50%
• Highly Accurate 25%
• Neural Network 25%
• Small Sets 25%
• Domain-independent 25%
• Sparsity 25%
• Vectorized 25%
• Dynamic Architecture 25%
• Feature Selection 25%
• Transferability 25%
• Identification Process 25%
• Recall-precision 25%
• Accuracy Measure 25%
• Machine Learning Approach 25%
• Tweets 25%
• Domain-specific Features 25%
• Dictionary Use 25%
• Meta-features 25%
• Starbucks 25%
• Messaging Apps 25%
• Sparse Input 25%
• Twitter Messaging 25%
• News Users 25%
• Input Matrix 25%
• Harmonic Average 25%
• Dictionary-based 25%

Computer Science

• Sentiment Analysis 100%
• Machine Learning Approach 100%
• Twitter 100%
• Machine Learning 75%
• Learning System 75%
• Sentiment Classification 50%
• Sparsity 25%
• Dependent Domain 25%
• Feature Selection 25%
• Identification Process 25%
• Messaging Service 25%
• Vectorization 25%
• Input Sparse Matrix 25%
• Support Vector Machine 25%
• Neural Network 25%
• Feature Extraction 25%