DRDLC: Discovering Relevant Documents Using Latent Dirichlet Allocation and Cosine Similarity.
R. S. RamyaGanesh Singh T.D. SejalK. R. VenugopalS. S. IyengarLalit M. PatnaikPublished in: ICNCC (2018)
Keyphrases
- relevant documents
- latent dirichlet allocation
- cosine similarity
- topic models
- information retrieval
- document clustering
- test collection
- tf idf
- document collections
- text mining
- information retrieval systems
- vector space model
- similarity function
- document retrieval
- similarity measure
- generative model
- relevance feedback
- query expansion
- distance measure
- vector space
- text documents
- user queries
- retrieved documents
- k means
- keywords
- pseudo relevance feedback
- semantic similarity
- retrieval model
- co occurrence
- language model
- query terms
- clustering algorithm
- dimensionality reduction
- knowledge discovery
- probabilistic model
- pairwise
- databases