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4 articles for “Latent Dirichlet Allocation (LDA)”
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Review ArticleOpen accessIn the keywordsA Systematic Literature Review on English and Bangla Topic ModelingMd. Basim Uddin Ahmed, Ananta Akash Podder, Mahruba Sharmin Chowdhury, Mohammad Abdullah Al MuminDue to the enormous growth of information and technology, the digitized texts and data are being immensely generated. Therefore, identifying the main topics in a vast collection of documents by humans is merely impossible. Topic modeling is such a statistical framework that infers the latent and underlying topics from text documents, corpus, or electronic archives through a probabilistic approach. It … …Journal of Computer Science, Vol. 17, Issue 1 · 8 Jan 2021 · 8,549 accessesView PDFCite
Research ArticleOpen accessIn the abstractTopic-Transformer for Document-Level Language UnderstandingOumaima Hourrane, El Habib BenlahmarAs long as natural language processing applications are considered prediction problems with insufficient context, usually referred to as a single sentence or paragraph, this does not reveal how humans perceive natural language. When reading a text, humans are sensitive to much more context, such as the rest or other relevant documents. This study focuses on simultaneously capturing syntax and global … …Journal of Computer Science, Vol. 18, Issue 1 · 22 Jan 2022 · 6,622 accessesView PDFCite
Research ArticleOpen accessIn the abstractPoisson-Gamma Latent Dirichlet Allocation Model for Topics with Word DependenciesIbrahim Bakari Bala, Mohd Zainuri SaringatThis paper introduces the Poisson-Gamma Latent Dirichlet Allocation (PGLDA) model for modeling word dependencies in topics modeling. The Poisson document length distribution has been used extensively in the past for modeling topics with the expectation that its effect will fizzle out at the end of the model definition. This procedure often leads to downplaying the effect of word correlation with … …Journal of Computer Science, Vol. 16, Issue 12 · 3 Dec 2020 · 6,879 accessesView PDFCite
Research ArticleOpen accessIn the abstractLatent Dirichlet Allocation Model for Raga Identification of Carnatic MusicRajeswari Sridhar, Manasa Subramanian, B. M. Lavanya et al.Problem statement: In this study the Raga of South Indian Carnatic music is determined by constructing a model. Raga is a pre-determined arrangement of notes, which is characterized by an Arohana and Avarohana, which is the ascending and descending arrangement of notes and Raga lakshana. Approach: In this study a Latent Dirichlet Allocation (LDA) model is constructed to identify the … …Journal of Computer Science, Vol. 7, Issue 11 · 30 Aug 2011 · 7,741 accessesView PDFCite