Enabling real-Time drug abuse detection in tweets

Keyphrases

• Tweets 100%
• Drug Abuse Detection 100%
• Drug Abuse 60%
• Illegal Drugs 60%
• Twitter 40%
• Prescription Drug Misuse 40%
• Abuse Patterns 40%
• Prescription Drugs 40%
• Social Media 20%
• Public Health Risk 20%
• Machine Learning Techniques 20%
• Detection System 20%
• Automatic Monitoring 20%
• Fast-growing 20%
• Classification Algorithms 20%
• Decision Tree Classifier 20%
• Automatic Classification 20%
• Classification Research 20%
• Large Volume Data 20%
• Social Media Sources 20%
• Supervised Classification 20%
• Health Records 20%
• Monitoring Strategy 20%
• Prevalence of Abuse 20%
• Near Real-time Monitoring 20%

Computer Science

• Social Media 100%
• Machine Learning 50%
• Time Monitoring 50%
• Support Vector Machine 50%
• Classification Algorithm 50%
• Automatic Classification 50%
• Supervised Classification 50%
• Decision Tree Classifier 50%
• Monitoring Strategy 50%

Pharmacology, Toxicology and Pharmaceutical Science

• Illicit Drug 100%
• Prescription Medication 66%
• Prescription Drug 66%
• Disease 33%
• Prevalence 33%
• Tree 33%