Analyzing library and information science full-text articles using a topic modeling approach.
Keiko KurataYosuke MiyataEmi IshitaMichimasa YamamotoFang YangAzusa IwasePublished in: ASIST (2018)
Keyphrases
- topic modeling
- library and information science
- scientific articles
- topic models
- information retrieval
- journal articles
- text mining
- latent dirichlet allocation
- information retrieval systems
- text classification
- computer science
- graduate students
- modeling framework
- probabilistic topic models
- digital libraries
- latent topics
- collaborative filtering
- text documents
- news articles
- machine learning
- pattern recognition
- text corpora
- probabilistic model
- scientific literature
- expert systems
- k means