Results 101 to 110 of about 63,472 (294)

Website Automatic Summarization Based on Website Hierarchy and Latent Dirichlet Allocation [PDF]

Jisuanji gongcheng, 2017
In recent years,the research of automatic summarization is mostly about multi-documents and Web pages,but less about website summarization.A method that summarizes a website automatically based on the hierarchical structure of the website and Latent ...
LI Shu’ai,YANG Jing,GU Junzhong
doaj   +1 more source

Intelligent radar software defect classification approach based on the latent Dirichlet allocation topic model [PDF]

, 2021
Xi Liu, Yongfeng Yin, Haifeng Li, Jiabin Chen, Chang Liu, Shengli Wang, Rui Yin   +6 more
openalex   +1 more source

Revisiting the Intellectual Legacy of H. Igor Ansoff: A Critical Analysis of His Contributions and Their Impact on the Evolution of Strategic Management

Strategic Change, EarlyView.
ABSTRACT This systematic review examines how H. Igor Ansoff's theoretical contributions have evolved in contemporary strategic management through cluster analysis of 116 publications (1968–2024). Four distinct research clusters were identified, revealing that Ansoff's legacy has shifted from theoretical foundations to pedagogical applications and ...
Adiemir Hortega, Daniela Menezes, Fernando Antonio Ribeiro Serra, Maling Ebrahimpour, Benny Kramer   +4 more
wiley   +1 more source

Personalized anti-tumor drug efficacy prediction based on clinical data

Heliyon
Anti-tumor drug efficacy prediction poses an unprecedented challenge to realizing personalized medicine. This paper proposes to predict personalized anti-tumor drug efficacy based on clinical data.
Xinping Xie, Dandan Li, Yangyang Pei, Weiwei Zhu, Xiaodong Du, Xiaodong Jiang, Lei Zhang, Hong-Qiang Wang   +7 more
doaj   +1 more source

Potenziale und Grenzen der Topic- Modellierung mit Latent Dirichlet Allocation für die Digital History [PDF]

, 2022
Melanie Althage
openalex   +1 more source

Evolution of research topics in LIS between 1996 and 2019: an analysis based on latent Dirichlet allocation topic model

Scientometrics, 2020
This study investigated the evolution of library and information science (LIS) by analyzing research topics in LIS journal articles. The analysis is divided into five periods covering the years 1996–2019.
Xiaoyao Han
semanticscholar   +1 more source

Don't You Know That You're Toxic? How Influencer‐Driven Misinformation Fuels Online Toxicity

Psychology &Marketing, EarlyView.
ABSTRACT Research on misinformation has focused on message content and cognitive bias, overlooking how source type shapes toxic engagement. This study addresses that gap by showing that influencer‐driven misinformation does not merely increase toxicity: it reconfigures its nature and persistence through relational and social influence mechanisms ...
Giandomenico Di Domenico, Federico Mangió, Denitsa Dineva   +2 more
wiley   +1 more source

Extractive summarization of Malayalam documents using latent Dirichlet allocation: An experience

Journal of Intelligent Systems, 2022
Automatic text summarization (ATS) extracts information from a source text and presents it to the user in a condensed form while preserving its primary content.
Kondath Manju, Suseelan David Peter, Idicula Sumam Mary   +2 more
doaj   +1 more source

Empirical prior latent Dirichlet allocation model

Nigerian Journal of Technology, 2019
In this study, empirical prior Dirichlet allocation (epLDA) model that uses latent semantic indexing framework to derive the priors required for topics computation from data is presented. The parameters of the priors so obtained are related to the parameters of the conventional LDA model using exponential function.
Adegoke, M.A., Ayeni, J.O.A., Adewole, P.A.   +2 more
openaire   +3 more sources

Topic-weak-correlated Latent Dirichlet allocation [PDF]

2010 7th International Symposium on Chinese Spoken Language Processing, 2010
Latent Dirichlet allocation (LDA) has been widely used for analyzing large text corpora. In this paper we propose the topic-weak-correlated LDA (TWC-LDA) for topic modeling, which constrains different topics to be weak-correlated. This is technically achieved by placing a special prior over the topic-word distributions. Reducing the overlapping between
Yimin Tan, Zhijian Ou
openaire   +1 more source