Results 41 to 50 of about 23,068 (215)
A Topic Modeling Toolbox Using Belief Propagation [PDF]
, 2012 Latent Dirichlet allocation (LDA) is an important hierarchical Bayesian model for probabilistic topic modeling, which attracts worldwide interests and touches on many important applications in text mining, computer vision and computational biology.
Zeng, Jia
core
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
Latent dirichlet markov allocation for sentiment analysis [PDF]
, 2013 In recent years probabilistic topic models have gained tremendous attention in data mining and natural language processing research areas. In the field of information retrieval for text mining, a variety of probabilistic topic models have been used to ...
Bagheri, A, de Jong, F, Saraee, MH
core +3 more sources
Credit Risk Assessment in the Climate Shadow: Evidence From White and Grey Literature
Business Strategy and the Environment, EarlyView.ABSTRACT Climate change is reshaping financial stability, making climate risk a critical component of banks' risk management. However, the absence of standardized frameworks validated by central authorities hinders banks' ability to integrate climate risk into existing credit risk models.
Rodolfo Raimondi +3 more
wiley +1 more source
Practical Collapsed Stochastic Variational Inference for the HDP [PDF]
, 2013 Recent advances have made it feasible to apply the stochastic variational paradigm to a collapsed representation of latent Dirichlet allocation (LDA).
Bleier, Arnim
core
Exploring Topic Coherence With PCC-LDA and BERT for Contextual Word Generation
IEEE AccessIn the field of natural language processing (NLP), topic modeling and word generation are crucial for comprehending and producing texts that resemble human languages.
Sandeep Kumar Rachamadugu +3 more
doaj +1 more source
Journal of Cloud Computing: Advances, Systems and Applications, 2022 Web API is a popular way to organize network services in cloud computing environment. However, it is a challenge to find an appropriate service for the requestor from massive Web API services.
Jiaji Shen, Wen Huang, Qiang Hu
doaj +1 more source
Dirichlet process mixture models for single-cell RNA-seq clustering
Biology Open, 2022 Clustering of cells based on gene expression is one of the major steps in single-cell RNA-sequencing (scRNA-seq) data analysis. One key challenge in cluster analysis is the unknown number of clusters and, for this issue, there is still no comprehensive ...
Nigatu A. Adossa +2 more
doaj +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Although recent literature on the circular economy (CE) has highlighted the important role of ecosystems, there is still limited understanding of the main themes that characterize circular ecosystems. This study addresses this gap by combining a comprehensive topic modeling analysis employing latent Dirichlet allocation (LDA) with a systematic
Aline Gabriela Ferrari +4 more
wiley +1 more source
Unsupervised Terminological Ontology Learning based on Hierarchical Topic Modeling
, 2017 In this paper, we present hierarchical relationbased latent Dirichlet allocation (hrLDA), a data-driven hierarchical topic model for extracting terminological ontologies from a large number of heterogeneous documents.
Bless, Patrick +2 more
core +1 more source