NLP Archives - Petamind https://petaminds.com/tag/nlp/ A.I, Data and Software Engineering Mon, 17 Jan 2022 20:31:40 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://petaminds.com/wp-content/uploads/2019/09/ic_launcher.png NLP Archives - Petamind https://petaminds.com/tag/nlp/ 32 32 Latent Dirichlet Allocation (LDA) and Topic ModelLing in Python https://petaminds.com/latent-dirichlet-allocation-lda-and-topic-modelling-in-python/ https://petaminds.com/latent-dirichlet-allocation-lda-and-topic-modelling-in-python/#respond Sun, 16 Jan 2022 22:09:59 +0000 https://petaminds.com/?p=3590 Topic modelling is a type of statistical modelling for discovering the abstract “topics” that occur in a collection of documents. Latent Dirichlet Allocation (LDA) is an example of a topic model and is used to classify text in a document to a particular topic. It builds a topic per document model and words per topic model, modelled as Dirichlet […]

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]]> https://petaminds.com/latent-dirichlet-allocation-lda-and-topic-modelling-in-python/feed/ 0 Understanding Latent Dirichlet Allocation (LDA) https://petaminds.com/understanding-latent-dirichlet-allocation-lda/ https://petaminds.com/understanding-latent-dirichlet-allocation-lda/#respond Sun, 02 Jan 2022 03:37:00 +0000 https://petaminds.com/?p=3625 Imagine a large law firm takes over a smaller law firm and tries to identify the documents corresponding to different types of cases such as civil or criminal cases which the smaller firm has dealt or is currently dealing with. The presumption is that the documents are not already classified by the smaller law firm. […]

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]]> https://petaminds.com/understanding-latent-dirichlet-allocation-lda/feed/ 0 Word2vec with gensim – a simple word embedding example https://petaminds.com/word2vec-with-gensim-a-simple-word-embedding-example/ https://petaminds.com/word2vec-with-gensim-a-simple-word-embedding-example/#comments Wed, 11 Apr 2018 05:58:27 +0000 https://petaminds.com/?p=1127 In this short article, we show a simple example of how to use GenSim and word2vec for word embedding. Word2vec Word2vec is a famous algorithm for natural language processing (NLP) created by Tomas Mikolov teams. It is a group of related models that are used to produce word embeddings, i.e. CBOW and skip-grams. The models are […]

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