User segmentation in online advertising using latent Dirichlet allocation
Lietuvos Matematikos Rinkinys, 2015 User segmentation is one the most important problems in online advertiting. The use of online latent Dirichlet allocation model for analysing big datasets for this purpose is proposed in this paper.
Darius Aliulis, Vytautas Janilionis
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Aurora Image Classification Based on Multi-Feature Latent Dirichlet Allocation
Remote Sensing, 2018 Due to the rich physical meaning of aurora morphology, the classification of aurora images is an important task for polar scientific expeditions. However, the traditional classification methods do not make full use of the different features of aurora ...
Yanfei Zhong +4 more
doaj +1 more source
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 Recently, Sentiment Analysis is used for expression detection of products or services. Sentiment Analysis is one category type with a level of aspect focused on extracting product aspects.
Dinda Adimanggala +2 more
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Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis
Frontiers in Artificial Intelligence, 2020 With the growth of online social network platforms and applications, large amounts of textual user-generated content are created daily in the form of comments, reviews, and short-text messages.
Rania Albalawi +2 more
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Extractive summarization of Malayalam documents using latent Dirichlet allocation: An experience
Journal of Intelligent Systems, 2022 Automatic text summarization (ATS) extracts information from a source text and presents it to the user in a condensed form while preserving its primary content.
Kondath Manju +2 more
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Hyperspectral Unmixing with Endmember Variability using Semi-supervised Partial Membership Latent Dirichlet Allocation [PDF]
arXiv, 2017 A semi-supervised Partial Membership Latent Dirichlet Allocation approach is developed for hyperspectral unmixing and endmember estimation while accounting for spectral variability and spatial information. Partial Membership Latent Dirichlet Allocation is an effective approach for spectral unmixing while representing spectral variability and leveraging
arxiv
Gaussian Latent Dirichlet Allocation for Discrete Human State Discovery [PDF]
arXiv, 2022 In this article we propose and validate an unsupervised probabilistic model, Gaussian Latent Dirichlet Allocation (GLDA), for the problem of discrete state discovery from repeated, multivariate psychophysiological samples collected from multiple, inherently distinct, individuals.
arxiv
A Spatial Semantic Feature Extraction Method for Urban Functional Zones Based on POIs
ISPRS International Journal of Geo-InformationAccurately extracting semantic features of urban functional zones is crucial for understanding urban functional zone types and urban functional spatial structures.
Xin Yang, Xi’ang Ma
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Identifying Software Complexity Topics with Latent Dirichlet Allocation on Design Patterns [PDF]
Informatică economică, 2019 The scientific literature has paid limited attention to studying software complexity subjects from the design point of view. There is a significant number of papers that study software complexity in relation with maintenance, refactoring, source code ...
Sabina-Cristiana NECULA +1 more
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Scalable Inference for Latent Dirichlet Allocation [PDF]
arXiv, 2009 We investigate the problem of learning a topic model - the well-known Latent Dirichlet Allocation - in a distributed manner, using a cluster of C processors and dividing the corpus to be learned equally among them. We propose a simple approximated method that can be tuned, trading speed for accuracy according to the task at hand.
arxiv