Chemical Topic Modeling: Exploring Molecular Data Sets Using a Common Text-Mining Approach.
Nadine SchneiderNikolas FechnerGregory A. LandrumNikolaus StieflPublished in: J. Chem. Inf. Model. (2017)
Keyphrases
- topic modeling
- text mining
- data sets
- topic models
- drug discovery
- latent dirichlet allocation
- text data
- information extraction
- chemical reactions
- text analysis
- text documents
- text classification
- molecular level
- information retrieval
- latent topics
- natural language processing
- scientific articles
- modeling framework
- text corpora
- biomedical literature
- virtual screening
- data mining
- document clustering
- knowledge discovery
- data analysis
- generative model
- topic extraction
- training data
- latent variables
- named entities
- high dimensional data
- knowledge representation
- training set
- association rules
- hierarchical bayesian model
- feature extraction