Multi-level K-means text clustering technique for topic identification for competitor intelligence.
Swapnajit ChakrabortiShubhamoy DeyPublished in: RCIS (2016)
Keyphrases
- text clustering
- k means
- clustering algorithm
- hierarchical clustering
- document clustering
- text mining
- text categorization
- text data
- self organizing maps
- text documents
- data clustering
- cluster analysis
- clustering quality
- clustering method
- variable weighting
- metric learning
- background knowledge
- topic models
- expectation maximization
- spectral clustering
- user feedback
- document representation
- text collections
- artificial intelligence
- neural network
- fuzzy c means
- natural language
- vector space model
- topic modeling
- similarity measure