Results 41 to 50 of about 13,047 (256)
Review of Latent Dirichlet Allocation Methods Usable in Voice of Customer Analysis
, 2018 The aim of the article is to detect and review existing topic modelling methods of Latent Dirichlet Allocation and their modifications usable in Voice of Customer analysis.
Lucie Sperkova
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Analisis Topik Tagar Covidindonesia pada Instagram Menggunakan Latent Dirichlet Allocation
JISKA (Jurnal Informatika Sunan Kalijaga), 2022 In this era, technology is increasingly sophisticated, this is evidenced by the number of people using the internet via cell phones, laptops, and other communication tools.
Kevin Rafi Adjie Putra Santoso +3 more
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Modeling Topic and Role Information in Meetings using the Hierarchical Dirichlet Process
, 2008 In this paper, we address the modeling of topic and role information in multiparty meetings, via a nonparametric Bayesian model called the hierarchical Dirichlet process.
Renals, Steve, Huang, Songfang
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Renormalization Analysis of Topic Models
Entropy, 2020 In practice, to build a machine learning model of big data, one needs to tune model parameters. The process of parameter tuning involves extremely time-consuming and computationally expensive grid search.
Sergei Koltcov, Vera Ignatenko
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Agribusiness, EarlyView.ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
High performance latent dirichlet allocation for text mining [PDF]
, 2013 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Latent Dirichlet Allocation (LDA), a total probability generative model, is a three-tier Bayesian model. LDA computes the latent topic structure of the data
Liu, Zelong
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Similarity Measures Based on Latent Dirichlet Allocation
, 2013 We present in this paper the results of our investigation on semantic similarity measures at word- and sentence-level based on two fully-automated approaches to deriving meaning from large corpora: Latent Dirichlet Allocation, a probabilistic approach ...
Rajendra Banjade +5 more
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Estimating News Coverage Patterns using Latent Dirichlet Allocation (LDA)
Sukkur IBA Journal of Emerging Technologies, 2018 The growing rate of unstructured textual data has made an open challenge for the knowledge discovery, which aims extracting desired information from large collection of data.
Naeem Ahmed Mahoto
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Partial Membership Latent Dirichlet Allocation
CoRR, 2016 Topic models (e.g., pLSA, LDA, sLDA) have been widely used for segmenting imagery. However, these models are confined to crisp segmentation, forcing a visual word (i.e., an image patch) to belong to one and only one topic. Yet, there are many images in which some regions cannot be assigned a crisp categorical label (e.g., transition regions between a ...
Chao Chen 0040 +5 more
openaire +2 more sources
Journal of the Association for Information Science and Technology, EarlyView.Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source