Results 51 to 60 of about 23,460 (215)

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, Geoffrey J. Cary, Teigan Cremona, Hugh F. Davies, Brett P. Murphy, Sam C. Banks   +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

Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives

Business Strategy and the Environment, EarlyView.
ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh, Rsha Alghafes, Judit Petra Koltai, Sushant Kumar Vishnoi   +3 more
wiley   +1 more source

Exploring Topic Coherence With PCC-LDA and BERT for Contextual Word Generation

IEEE Access
In 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, T. P. Pushphavathi, Surbhi Bhatia Khan, Mohammad Alojail   +3 more
doaj   +1 more source

A New Approach to Speeding Up Topic Modeling [PDF]

, 2014
Latent Dirichlet allocation (LDA) is a widely-used probabilistic topic modeling paradigm, and recently finds many applications in computer vision and computational biology.
Jia Zeng, Senior Member, Xiao-qin Cao, Zhi-qiang Liu   +3 more
core  

Sparse Partially Collapsed MCMC for Parallel Inference in Topic Models

, 2017
Topic models, and more specifically the class of Latent Dirichlet Allocation (LDA), are widely used for probabilistic modeling of text. MCMC sampling from the posterior distribution is typically performed using a collapsed Gibbs sampler.
Broman, David, Jonsson, Leif, Magnusson, Måns, Villani, Mattias   +3 more
core   +2 more sources

Analisis Topic Modelling Pariwisata Yogyakarta Menggunakan Latent Dirichlet Allocation (LDA)

The Indonesian Journal of Computer Science
Pariwisata Yogyakarta sebagai destinasi yang kaya akan budaya dan sejarah, sering menjadi fokus diskusi di media sosial. Tujuan dari Penelitian ini adalah menelaah topik pariwisata Yogyakarta dari Twitter. Dataset yang diperoleh dalam penelitian ini  dari crawling data menggunakan API key Twitter.
null Uray Nur Khadijah, null Nuri Cahyono   +1 more
openaire   +1 more source

Reporting What Matters, or Reporting What Looks Good? Materiality and Balance in Post–Rana Plaza Apparel Sustainability Disclosure

Business Strategy and the Environment, EarlyView.
ABSTRACT Sustainability reports (SRs) are widely criticized for vague disclosures and selective emphasis on positive outcomes, yet systematic research on two core SR challenges remains limited: materiality (whether disclosed content is relevant) and balance (whether both achievements and challenges are reported).
Mahsa Mohammadrezaei, José Carlos Marques   +1 more
wiley   +1 more source

PICF-LDA: a topic enhanced LDA with probability incremental correction factor for Web API service clustering

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, Kalle T. Rytkönen, Laura L. Elo   +2 more
doaj   +1 more source