Discovering key topics from short, real-world medical inquiries via natural language processing and unsupervised learning.
Angelo ZilettiChristoph BernsOliver TreichelThomas WeberJennifer LiangStephanie KammerathMarion SchwaerzlerJagatheswari VirayahDavid RuauXin MaAndreas MatternPublished in: CoRR (2020)
Keyphrases
- unsupervised learning
- natural language processing
- real world
- key topics
- machine learning
- case study
- named entity recognition
- information extraction
- data sets
- supervised learning
- design concepts
- data mining
- deep learning
- text mining
- knowledge representation
- machine translation
- pattern recognition
- computational linguistics
- question answering
- computational biology
- medical diagnosis
- medical data
- wordnet
- web mining
- feature selection
- model selection
- dimensionality reduction
- metadata