{"id":14770,"date":"2019-05-16T11:31:13","date_gmt":"2019-05-16T15:31:13","guid":{"rendered":"http:\/\/bangla.salearningschool.com\/recent-posts\/on-lda-lda-and-healthcare\/"},"modified":"2019-05-16T11:31:13","modified_gmt":"2019-05-16T15:31:13","slug":"on-lda-lda-and-healthcare","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=14770","title":{"rendered":"On LDA: LDA and Healthcare"},"content":{"rendered":"<p>What is LDA topic modeling?<\/p>\n<p>&quot;Latent Dirichlet Allocation (LDA) is an example of topic model and is used to classify text in a document to a particular topic&quot;<\/p>\n<p><a href=\"https:\/\/towardsdatascience.com\/topic-modeling-and-latent-dirichlet-allocation-in-python-9bf156893c24\">https:\/\/towardsdatascience.com\/topic-modeling-and-latent-dirichlet-allocation-in-python-9bf156893c24<\/a><\/p>\n<p>What is topic modeling used for?<\/p>\n<p>&quot;In machine learning and natural language processing, a topic model is a type of statistical model for discovering the abstract &quot;topics&quot; that occur in a collection of documents. Topic modeling is a frequently used text-mining tool for discovery of hidden semantic structures in a text body.&quot;<\/p>\n<p>Topic model &#8211; Wikipedia<\/p>\n<p><a href=\"https:\/\/en.m.wikipedia.org\/wiki\/Topic_model\">https:\/\/en.m.wikipedia.org\/wiki\/Topic_model<\/a><\/p>\n<p>Is LDA supervised or unsupervised?<\/p>\n<p>&quot;Original LDA is unsupervised learning algorithm, while Labeled-LDA and Multi-Grain LDA, another topic model for classification and sentiment analysis, are supervised algorithm.&quot;<\/p>\n<p><a href=\"https:\/\/www.quora.com\/Is-LDA-latent-dirichlet-allocation-unsupervised-or-supervised-learning\">https:\/\/www.quora.com\/Is-LDA-latent-dirichlet-allocation-unsupervised-or-supervised-learning<\/a><\/p>\n<p>Modeling healthcare data using multiple-channel latent Dirichlet allocation<\/p>\n<p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1532046416000253\">https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1532046416000253<\/a><\/p>\n<p>Latent Dirichlet Allocation for Classification using Gene Expression Data<\/p>\n<p><a href=\"https:\/\/ieeexplore.ieee.org\/document\/8251263\">https:\/\/ieeexplore.ieee.org\/document\/8251263<\/a><\/p>\n<p>A hybrid LDA and genetic algorithm for gene selection and classification of microarray data<\/p>\n<p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0925231210002456\">https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0925231210002456<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>What is LDA topic modeling? &quot;Latent Dirichlet Allocation (LDA) is an example of topic model and is used to classify text in a document to a particular topic&quot; https:\/\/towardsdatascience.com\/topic-modeling-and-latent-dirichlet-allocation-in-python-9bf156893c24 What is topic modeling used for? &quot;In machine learning and natural language processing, a topic model is a type of statistical model for discovering the abstract &hellip; <\/p>\n<p><a class=\"more-link btn\" href=\"http:\/\/bangla.sitestree.com\/?p=14770\">Continue reading<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[182],"tags":[],"class_list":["post-14770","post","type-post","status-publish","format-standard","hentry","category---blog","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":14771,"url":"http:\/\/bangla.sitestree.com\/?p=14771","url_meta":{"origin":14770,"position":0},"title":"LDA: Latent Dirichlet Allocation (LDA): Applications of LDA","author":"Sayed","date":"May 16, 2019","format":false,"excerpt":"What is LDA topic modeling? \"Latent Dirichlet Allocation (LDA) is an example of topic model and is used to classify text in a document to a particular topic\" https:\/\/towardsdatascience.com\/topic-modeling-and-latent-dirichlet-allocation-in-python-9bf156893c24 What is topic modeling used for? \"In machine learning and natural language processing, a topic model is a type of statistical\u2026","rel":"","context":"In &quot;\u09ac\u09cd\u09b2\u0997 \u0964 Blog&quot;","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25009,"url":"http:\/\/bangla.sitestree.com\/?p=25009","url_meta":{"origin":14770,"position":1},"title":"LDA: Latent Dirichlet Allocation (LDA): Applications of LDA #Root","author":"Author-Check- Article-or-Video","date":"April 14, 2021","format":false,"excerpt":"What is LDA topic modeling? \"Latent Dirichlet Allocation (LDA) is an example of topic model and is used to classify text in a document to a particular topic\" https:\/\/towardsdatascience.com\/topic-modeling-and-latent-dirichlet-allocation-in-python-9bf156893c24 What is topic modeling used for? \"In machine learning and natural language processing, a topic model is a type of statistical\u2026","rel":"","context":"In &quot;FromSitesTree.com&quot;","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25007,"url":"http:\/\/bangla.sitestree.com\/?p=25007","url_meta":{"origin":14770,"position":2},"title":"On LDA: LDA and Healthcare #Root","author":"Author-Check- Article-or-Video","date":"April 14, 2021","format":false,"excerpt":"What is LDA topic modeling? \"Latent Dirichlet Allocation (LDA) is an example of topic model and is used to classify text in a document to a particular topic\" https:\/\/towardsdatascience.com\/topic-modeling-and-latent-dirichlet-allocation-in-python-9bf156893c24 What is topic modeling used for? \"In machine learning and natural language processing, a topic model is a type of statistical\u2026","rel":"","context":"In &quot;FromSitesTree.com&quot;","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":78195,"url":"http:\/\/bangla.sitestree.com\/?p=78195","url_meta":{"origin":14770,"position":3},"title":"Dimensionality Reduction","author":"Sayed","date":"May 21, 2025","format":false,"excerpt":"Some Approaches \u2022Feature Selection \u2022Feature Extraction \u2022PCA \u2022SVD \u2022LDA Data Analytics, Machine Learning, Data Science","rel":"","context":"In &quot;Analytics and Machine Learning Project Development&quot;","block_context":{"text":"Analytics and Machine Learning Project Development","link":"http:\/\/bangla.sitestree.com\/?cat=1974"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-15.png?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-15.png?resize=350%2C200 1x, https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-15.png?resize=525%2C300 1.5x, https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-15.png?resize=700%2C400 2x"},"classes":[]},{"id":71071,"url":"http:\/\/bangla.sitestree.com\/?p=71071","url_meta":{"origin":14770,"position":4},"title":"Are k-nearest neighbor and k-means clustering both supervised and\/or unsupervised?","author":"Sayed","date":"September 20, 2021","format":false,"excerpt":"If you can, answer the question below: Write your answer in the comment box. 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