Results 41 to 50 of about 1,033,557 (227)

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
doaj   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

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, Asmaul Husna, Nadia Widyawati Putri, Nur Aini Rakhmawati   +3 more
doaj   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST) paper

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, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

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, Alina Zare, Huy Trinh, Gbenga O. Omotara, J. Tory Cobb, Timotius Lagaunne   +5 more
openaire   +3 more sources

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

‘More than information’: A social listening and platform architecture analysis of online special educational needs and disabilities discourse

British Educational Research Journal, EarlyView.
Abstract Parents of children with special educational needs and disabilities (SEND) increasingly seek information and support through online discussions, yet little is known about how architectural features of digital platforms shape the interactions and support that parents encounter. The paper makes two contributions: First, it develops and applies a
Alan Shaw, Patricia A. Shaw
wiley   +1 more source

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
openaire   +4 more sources

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

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
doaj   +1 more source