: retrieving relevant documents using cosine similarity and LDA in text mining.
R. S. RamyaGanesh Singh T.Sejal Santosh NimbhorkarK. R. VenugopalS. S. IyengarL. M. PatnaikPublished in: Int. J. Inf. Commun. Technol. (2021)
Keyphrases
- cosine similarity
- text mining
- document clustering
- latent dirichlet allocation
- topic models
- document similarity
- topic modeling
- text documents
- tf idf
- vector space model
- similarity measure
- document representation
- similarity function
- vector space
- natural language processing
- document summarization
- information retrieval
- linear discriminant analysis
- euclidean distance
- probabilistic topic models
- semantic similarity
- machine learning
- distance measure
- information extraction
- k means
- data mining
- named entities
- document collections
- generative model
- knowledge discovery
- data analysis
- wordnet
- text classification
- clustering algorithm
- clustering method
- dimensionality reduction
- face recognition