On discovering most frequent research trends in a scientific discipline using a text mining technique.
Shilpa LakhanpalAjay GuptaRajeev AgrawalPublished in: ACM Southeast Regional Conference (2014)
Keyphrases
- text mining
- discovering frequent
- scientific literature
- data mining
- textual documents
- text documents
- web mining
- computer science
- scientific data
- natural language processing
- knowledge discovery
- text classification
- machine learning
- information extraction
- mining frequent
- information systems
- artificial intelligence
- named entities
- information retrieval
- text clustering
- science education
- biomedical literature
- sentiment analysis
- mining algorithm
- link analysis
- data analysis
- scientific knowledge
- knowledge representation
- science learning
- frequent patterns
- pattern mining
- frequent pattern mining
- databases
- subject matter
- multi relational
- topic models
- topic modeling
- textual data
- tree mining
- latent dirichlet allocation
- text categorisation