Results 31 to 40 of about 1,075,906 (163)
A Competency Mining Method Based on Latent Dirichlet Allocation (LDA) Model
Journal of Physics: Conference Series, 2020 Abstract A text mining approach based on latent Dirichlet allocation (LDA) is proposed to analyze the competency characteristics. First, we briefly introduce the principle and hypothesis of latent Dirichlet allocation (LDA) model. Second, we elaborate the idea of using LDA topic model to extract competency, Then, we use Chinese text ...
Jiying Wu, Guandong Son, Sihui Wang
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Profiling heterogeneity of Alzheimer's disease using white-matter impairment factors
NeuroImage: Clinical, 2018 The clinical presentation of Alzheimer's disease (AD) is not unitary as heterogeneity exists in the disease's clinical and anatomical characteristics. MRI studies have revealed that heterogeneous gray matter atrophy patterns are associated with specific ...
Xiuchao Sui, Jagath C. Rajapakse
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An Improved Supervised-LDA Text Model and Its Application [PDF]
Jisuanji gongcheng, 2018 Supervised-Latent Dirichlet Distribution Allocation (s-LDA) model cannot handle the multi-label problem and s-LDA model is not correct distribution in the classification model.The Supervised Labled-LDA(sl-LDA) model is proposed by adding a category label
XU Tengteng,HUANG Hengjun
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Entropy, 2020 Topic modeling is a popular technique for clustering large collections of text documents. A variety of different types of regularization is implemented in topic modeling. In this paper, we propose a novel approach for analyzing the influence of different
Sergei Koltcov +3 more
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Genome Biology, 2020 Sputum induction is a non-invasive method to evaluate the airway environment, particularly for asthma. RNA sequencing (RNA-seq) of sputum samples can be challenging to interpret due to the complex and heterogeneous mixtures of human cells and exogenous ...
Daniel Spakowicz +11 more
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Leveraging Global and Local Topic Popularities for LDA-Based Document Clustering
IEEE Access, 2020 Document clustering is of high importance for many natural language technologies. A wide range of computational traditional topic models, such as LDA (Latent Dirichlet Allocation) and its variants, have made great progress. However, traditional LDA-based
Peng Yang, Yu Yao, Huajian Zhou
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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 +4 more
wiley +1 more source
Evolution of Integrated Marketing Communication Research through Latent Dirichlet Allocation (LDA) Analysis [PDF]
Journal of Emerging Trends in Marketing and Management, 2020 Integrated Marketing Communication (IMC) is an area that emerged as a shift in the way MarCom departments were functioning at the beginning of 90's. For the last 30 years, the concept evolved from being a tactical set of actions to a customer-focused ...
Alina Popa, Raluca-Ecaterina Brandabur
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Multi-angle Personalized Microblog Recommendation Algorithm Based on LDA Model [PDF]
Jisuanji gongcheng, 2017 Using Latent Dirichlet Allocation(LDA) to mine topics which users are interested in is the most popular topic-mining method.In order to improve users′ experience and recommend fresh microblog which users are interested,this paper puts forward a multi ...
SUN Yujie,QIN Yongbin
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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 +1 more
wiley +1 more source