Results 71 to 80 of about 34,920 (220)
Mapping the Influence of Ansoff's Corporate Strategy
Strategic Change, EarlyView.ABSTRACT This paper conducts a systematic, data‐driven analysis of H. Igor Ansoff's enduring impact on strategic management scholarship. Despite Ansoff's recognition as the “father of strategic management” and the continued relevance of his frameworks—including the Ansoff matrix, weak signals analysis, and strategic thrust—a comprehensive understanding
Ivan Zupic +3 more
wiley +1 more source
A Spatial Semantic Feature Extraction Method for Urban Functional Zones Based on POIs
ISPRS International Journal of Geo-InformationAccurately extracting semantic features of urban functional zones is crucial for understanding urban functional zone types and urban functional spatial structures.
Xin Yang, Xi’ang Ma
doaj +1 more source
Latent sentiment model for weakly-supervised cross-lingual sentiment classification
, 2011 In this paper, we present a novel weakly-supervised method for crosslingual sentiment analysis. In specific, we propose a latent sentiment model (LSM) based on latent Dirichlet allocation where sentiment labels are considered as topics. Prior information
He, Yulan
core +2 more sources
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 +4 more
wiley +1 more source
Personalized anti-tumor drug efficacy prediction based on clinical data
HeliyonAnti-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 +7 more
doaj +1 more source
Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis
Frontiers in Artificial Intelligence, 2020 With the growth of online social network platforms and applications, large amounts of textual user-generated content are created daily in the form of comments, reviews, and short-text messages.
Rania Albalawi +2 more
doaj +1 more source
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
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
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 +3 more
core +2 more sources
Sustainable Development, EarlyView.ABSTRACT European urban climate change research lacks integration across scales, geography, and climate challenges, despite Europe's coordinated policy frameworks. Through a hybrid bibliometric and systematic review of 1528 studies (2010–2025) using Cortext Manager and PRISMA 2020 guidelines, this study maps the conceptual patterns, knowledge gaps, and
Isabela Pichardo‐Velázquez +2 more
wiley +1 more source