Results 71 to 80 of about 5,406 (194)

Multi-Document Summarization Using K-Means and Latent Dirichlet Allocation (LDA) – Significance Sentences

open access: yesProcedia Computer Science, 2018
Abstract The contents of online news documents are almost the same that will lead to the redundancy of news or called yellow journalism. Yellow journalism can make it difficult for readers to distinguish documents containing fact or opinionated information.
Shiva Twinandilla   +3 more
openaire   +1 more source

Spatial Transcriptomics and Bulk RNA‐Seq Analysis Revealed Molecular Classification of Invasive Lobular Carcinoma

open access: yesCancer Science, EarlyView.
Spatial transcriptomics and bulk RNA‐seq data analysis revealed the molecular characteristics of invasive lobular carcinoma (ILC). ILC was classified into three clusters: proliferative, immunoreactive, and stromal‐rich, with different prognoses. ABSTRACT Invasive lobular carcinoma (ILC) is a special type of breast cancer.
Momoko Tokura   +9 more
wiley   +1 more source

The power of a stewardship mind: Reorienting organizations around the duty to care to better address grand challenges

open access: yesInternational Journal of Management Reviews, EarlyView.
Abstract The present article presents an integrative review related to stewardship in all the business and management disciplines, from its initial development in 1980 to the present. Specifically, we applied a latent Dirichlet allocation‐based topic modelling analysis to almost 1200 articles, seeking to creatively synthesize the concept of stewardship
Debora Casoli   +3 more
wiley   +1 more source

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

open access: yesThe 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   +1 more
openaire   +1 more source

Equity–Equality Tensions in Police Social Media Communication With Socially Disadvantaged Neighbourhoods: The Case of Instagram

open access: yesInformation Systems Journal, EarlyView.
ABSTRACT This study draws on Instagram‐related data to examine how and why the equity and equality principles of fairness govern police communication with socially disadvantaged neighbourhoods on social media. Using the computationally intensive theory construction methodology and drawing on institutional theory and the framework for the interplay of ...
Nataliya Berbyuk Lindström   +2 more
wiley   +1 more source

Exploring Players’ Perspectives: A Comprehensive Topic Modeling Case Study on Elden Ring

open access: yesInformation
Game reviews heavily influence public perception. User feedback is crucial for developers, offering valuable insights to enhance game quality. In this research, Metacritic game reviews for Elden Ring were analyzed for topic modeling using Latent ...
Fatemeh Dehghani, Loutfouz Zaman
doaj   +1 more source

The Narrative Continent: Discursive Recognition and the EU's Technological Actorness

open access: yesJCMS: Journal of Common Market Studies, EarlyView.
Abstract Recognition in global politics is not only earned through institutions or capabilities; it is narrated into being. This article investigates how the European Union (EU) is framed as a technological actor in global discourse, focusing on the symbolic dynamics of discursive recognition.
Mahmoud Javadi
wiley   +1 more source

The Racialisation of Rape: A Far‐Right Tool for Boundary‐Creation Across Borders

open access: yesNations and Nationalism, EarlyView.
ABSTRACT Far‐right parties and movements have increasingly come to incorporate ideas of gender equality into their political agendas. While seemingly out of concern for women's rights and safety, these issues are in reality seldom more than a veil to further the stigmatisation of Muslim men.
Mathilda Åkerlund
wiley   +1 more source

Improving optimal prompt learning through multilayer fusion and latent dirichlet allocation

open access: yesFrontiers in Robotics and AI
Recent advances in few-shot learning have demonstrated the potential of prompt-based techniques with pre-trained models, eliminating the need for extensive fine-tuning. However, challenges such as obtaining optimal prompts and addressing data scarcity in
Qinghua Chen   +6 more
doaj   +1 more source

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