Results 41 to 50 of about 34,920 (220)
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
doaj +1 more source
The Auto Annotation Latent Dirichlet Allocation [PDF]
Advances in Intelligent Systems Research, 2015 In this paper, we introduce the Auto-Annotation LDA models (aaLDA), a statistical model of non-labeled documents. This model generates the annotation of LDA automatically. We derive the annotation of LDA using a k-means methods combined with a pre-processing of the corpus.
Jikun Yan, Dongmei Yang, Yingzhuo Xiang
openaire +1 more source
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
doaj +1 more source
, 2016 The application of Partial Membership Latent Dirichlet Allocation(PM-LDA) for hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA provides a model for a hyperspectral image analysis that accounts for spectral variability and ...
Zare, Alina, Zou, Sheng
core +1 more source
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
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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Delineating gender/sex‐related studies through bibliometric analysis
Journal of the Association for Information Science and Technology, EarlyView.Abstract The multidisciplinary and socially grounded nature of Women's/Gender/Feminist Studies poses unique challenges for bibliometric analysis, as it extends beyond conventional disciplinary boundaries. This paper makes three key contributions: (1) We propose a novel retrieval method for constructing a corpus of scholarly documents in research areas ...
Natsumi S. Shokida +2 more
wiley +1 more source
An Automatic Tagging System Focused on Digital Resources
Journal of Harbin University of Science and Technology, 2020 In this paper, we proposed a novel automatic tagging system which aimed at the lack of tags about digital resources and the difficulty of extending tags This tagging system can effectively extend tags for public cultural resources we collected and other ...
LEIZhiwen, HUANG Ling
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Spatial metrics in fire ecology: seeking consistency amidst complexity
Biological Reviews, EarlyView.ABSTRACT Technological advances, including remote sensing, have led to a proliferation of metrics used in ecological studies to examine spatial patterns of fire regimes and their ecological effects. Researchers can use many different metrics to analyse spatial variation in both fire events and resulting fire regimes, including fire size, shape ...
Alexander R. Carey +5 more
wiley +1 more source
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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