Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing.
Ashkan EbadiPengcheng XiStéphane TremblayBruce SpencerRaman PallAlexander WongPublished in: Scientometrics (2021)
Keyphrases
- temporal evolution
- machine learning
- natural language processing
- information extraction
- temporal information
- machine learning algorithms
- natural language
- text mining
- knowledge representation
- text processing
- computational biology
- question answering
- non stationary
- feature engineering
- computational linguistics
- free text
- computational intelligence
- pattern recognition
- machine learning methods
- active learning
- computer science
- dynamic networks
- learning algorithm
- named entity recognition
- feature selection
- text summarization
- data mining
- knowledge acquisition
- language processing
- computer vision
- explanation based learning
- machine learning approaches
- speech processing
- supervised learning
- inductive learning
- learning tasks
- decision trees
- three dimensional
- wordnet
- knowledge discovery
- semantic analysis
- inductive logic programming
- metadata
- machine translation
- ontology learning
- model selection
- neural network