Results 21 to 30 of about 1,354 (119)

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
doaj  

Analyzing the Influence of Hyper-parameters and Regularizers of Topic Modeling in Terms of Renyi Entropy

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, Vera Ignatenko, Zeyd Boukhers, Steffen Staab   +3 more
doaj   +1 more source

Approaches for integrating heterogeneous RNA-seq data reveal cross-talk between microbes and genes in asthmatic patients

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, Shaoke Lou, Brian Barron, Jose L. Gomez, Tianxiao Li, Qing Liu, Nicole Grant, Xiting Yan, Rebecca Hoyd, George Weinstock, Geoffrey L. Chupp, Mark Gerstein   +11 more
doaj   +1 more source

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
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

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
doaj  

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
doaj   +1 more source

Incremental refinement of relevance rankings: Balancing relevance depth and scope

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Delivering both relevant and topically diverse results is a key challenge in information retrieval (IR). This study introduces a hybrid method that incrementally refines rankings by combining probabilistic topic modeling (latent dirichlet allocation [LDA]) with citation‐based pennant retrieval grounded in Relevance Theory (RT), optimizing for ...
Müge Akbulut, Yaşar Tonta
wiley   +1 more source

Extending Information Retrieval Methods to Personalized Genomic-Based Studies of Disease

Cancer Informatics, 2014
Genomic-based studies of disease now involve diverse types of data collected on large groups of patients. A major challenge facing statistical scientists is how best to combine the data, extract important features, and comprehensively characterize the ...
Shuyun Ye, John A. Dawson, Christina Kendziorski   +2 more
doaj   +1 more source

A Microblog Hot Topic Mining Method Integrating Tag Semantics [PDF]

Jisuanji gongcheng, 2019
Due to the short length of the microblog text,the direct use of Latent Dirichlet Allocation(LDA) model will lead to high-dimensional sparse feature vectors.Thus,a hot topic mining method integrating tag semantics is proposed.The common block algorithm is
ZHOU Fuxing, CHEN Xiuzhen, MA Jin, LI Shenghong
doaj   +1 more source