Using natural language processing to characterize and predict homeopathic product-associated adverse events in consumer reviews: comparison to reports to FDA Adverse Event Reporting System (FAERS).
Karen KonkelNurettin OnerAbdulaziz AhmedS. Christopher JonesEta S. BernerFerhat D. ZengulPublished in: J. Am. Medical Informatics Assoc. (2023)
Keyphrases
- consumer reviews
- natural language processing
- event detection
- event recognition
- event sequences
- news stories
- acute coronary syndrome
- machine learning
- event processing
- natural language
- information sources
- text mining
- information extraction
- product reviews
- complex events
- video event
- temporal patterns
- online stores
- wordnet
- statistically significant
- knowledge representation
- recommender systems
- data analysis
- feature selection