computerphysicslab · September 8, 2020 12:06
diff --git a/KNN vs LDA b/KNN vs LDA
 "Latent Dirichlet Allocation (LDA) Blei et.al, 2002, proposed LDA model. They described thismodel as a generative probabilistic three-level hierarchical Bayesian model. They say that this model is for large collections of discrete data and tries to find short descriptions for the collection to process large collection of documents. It models the corpus as a collection of documents, each document as a distribution of multiple topics and each topic as a mixture of words."

 "rstenjak et.al, 2013, proposed a possibility of using a KNN with TF-IDF method for text classification. The evaluation is based on the speed, accuracy and quality of classification. The results include both good and bad features. The main motivation for this paper was to develop concept frameworks with emphasis on KNN & TF-IDF module."

 https://www.digitalxplore.org/up_proc/pdf/268-148653117584-89.pdf

 #knn #lda #topicModel #textClassification
	"Latent Dirichlet Allocation (LDA) Blei et.al, 2002, proposed LDA model. They described thismodel as a generative probabilistic three-level hierarchical Bayesian model. They say that this model is for large collections of discrete data and tries to find short descriptions for the collection to process large collection of documents. It models the corpus as a collection of documents, each document as a distribution of multiple topics and each topic as a mixture of words."

	"rstenjak et.al, 2013, proposed a possibility of using a KNN with TF-IDF method for text classification. The evaluation is based on the speed, accuracy and quality of classification. The results include both good and bad features. The main motivation for this paper was to develop concept frameworks with emphasis on KNN & TF-IDF module."

	https://www.digitalxplore.org/up_proc/pdf/268-148653117584-89.pdf

	#knn #lda #topicModel #textClassification