Results 31 to 40 of about 7,298 (159)
Text Categorization with Latent Dirichlet Allocation [PDF]
Journal of Electrical and Electronics Engineering, 2014 This paper focuses on the text categorization of Slovak text corpora using latent Dirichlet allocation. Our goal is to build text subcorpora that contain similar text documents.
ZLACKÝ Daniel +3 more
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Earth Observation Semantic Data Mining: Latent Dirichlet Allocation-Based Approach
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Recent advances in remote sensing technology have provided (very) high spatial resolution Earth Observation data with abundant latent semantic information.
Reza Mohammadi Asiyabi, Mihai Datcu
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Implementasi Latent Dirichlet Allocation (LDA) untuk Klasterisasi Cerita Berbahasa Bali
Jurnal Teknologi Informasi dan Ilmu Komputer, 2021 Cerita-cerita berbahasa Bali memiliki topik yang beragam namun memuat nilai kearifan lokal yang perlu untuk dilestarikan. Jika cerita-cerita tersebut dapat dikelompokkan berdasarkan topik, tentu akan sangat memudahkan bagi para pembacanya dalam memilih ...
Ngurah Agus Sanjaya ER
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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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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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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
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Selecting Priors for Latent Dirichlet Allocation
2018 IEEE 12th International Conference on Semantic Computing (ICSC), 2018 Latent Dirichlet Allocation (LDA) has gained much attention from researchers and is increasingly being applied to uncover underlying semantic structures from a variety of corpora. However, nearly all researchers use symmetrical Dirichlet priors, often unaware of the underlying practical implications that they bear. This research is the first to explore
Shaheen Syed, Marco Spruit
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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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Topic-weak-correlated Latent Dirichlet allocation [PDF]
2010 7th International Symposium on Chinese Spoken Language Processing, 2010 Latent Dirichlet allocation (LDA) has been widely used for analyzing large text corpora. In this paper we propose the topic-weak-correlated LDA (TWC-LDA) for topic modeling, which constrains different topics to be weak-correlated. This is technically achieved by placing a special prior over the topic-word distributions. Reducing the overlapping between
Yimin Tan, Zhijian Ou
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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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