Results 21 to 30 of about 63,655 (233)

Topic Modeling of the Pakistani Economy in English Newspapers via Latent Dirichlet Allocation (LDA)

SAGE Open, 2022
This research paper explores aspects of the Pakistani economy using the Latent Dirichlet Allocation (LDA) technique. The data based on 3,000 articles were collected from two Pakistani English newspapers, Dawn and The News, (2015–2020), through Lexis ...
Fasih Ahmed, Muhammad Nawaz, Aisha Jadoon   +2 more
doaj   +2 more sources

Analysis of Health Research Topics in Indonesia Using the LDA (Latent Dirichlet Allocation) Topic Modeling Method

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2020
In this time, the need of research, the development and the implementation of the result of research in health is increasing both from the researchers, the government, the academic even of from the public general. One of the ways to find out the health research trend is by topic modeling.
Dhomas Hatta Fudholi, Yoga Sahria
openaire   +5 more sources

FUN-LDA: A Latent Dirichlet Allocation Model for Predicting Tissue-Specific Functional Effects of Noncoding Variation: Methods and Applications [PDF]

The American Journal of Human Genetics, 2018
We describe a method based on a latent Dirichlet allocation model for predicting functional effects of noncoding genetic variants in a cell-type- and/or tissue-specific way (FUN-LDA). Using this unsupervised approach, we predict tissue-specific functional effects for every position in the human genome in 127 different tissues and cell types.
Zihuai He, Iuliana Ionita-Laza, Joseph D. Buxbaum, Angela M. Christiano, Krzysztof Kiryluk, Ekta Khurana, Valentina Boeva, Valentina Boeva, Lynn Pethukova, Daniel Backenroth   +9 more
openaire   +4 more sources

Latent dirichlet allocation for double clustering (LDA-DC): discovering patients phenotypes and cell populations within a single Bayesian framework [PDF]

BMC Bioinformatics, 2022
Abstract Background Current clinical routines rely more and more on “omics” data such as flow cytometry data from host and microbiota. Cohorts variability in addition to patients’ heterogeneity and huge dimensions make it difficult to understand underlying structure of the data and decipher pathologies.
Elie-Julien El Hachem, Nataliya Sokolovska, Hedi Soula   +2 more
openaire   +4 more sources

Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses. [PDF]

J Med Internet Res, 2023
Parker MA, Valdez D, Rao VK, Eddens KS, Agley J.   +4 more
europepmc   +2 more sources

Ecological modelling: A computational analysis of air pollution discourses in English print media of India and Pakistan. [PDF]

PLoS ONE
The present study investigates air pollution dynamics through newspaper discourse in India and Pakistan, where both countries rank among the top five countries affected by air pollution.
Sana Rabbani, Fasih Ahmed
doaj   +2 more sources

FUN-LDA: A LATENT DIRICHLET ALLOCATION MODEL FOR PREDICTING TISSUE-SPECIFIC FUNCTIONAL EFFECTS OF NONCODING VARIATION [PDF]

, 2016
ABSTRACTWe describe here a new method based on a latent Dirichlet allocation model for predicting functional effects of noncoding genetic variants in a cell type and tissue specific way (FUN-LDA) by integrating diverse epigenetic annotations for specific cell types and tissues from large scale epige-nomics projects such as ENCODE and Roadmap ...
Backenroth, Daniel, He, Zihuai, Kiryluk, Krzysztof, Boeva, Valentina, Pethukova, Lynn, Khurana, Ekta, Christiano, Angela, Buxbaum, Joseph D., Ionita-Laza, Iuliana   +8 more
openaire   +3 more sources

Topic Modeling Using Latent Dirichlet Allocation (LDA) and Sentiment Analysis for Marketing Planning Tiket.com [PDF]

Proceedings of the 2nd International Seminar on Science and Technology (ISSTEC 2019), 2020
Berlin Helmi Puspita, Muhammad Muhajir, Hafizhan Aliady   +2 more
openaire   +3 more sources

A Latent Dirichlet Allocation (LDA) Semantic Text Analytics Approach to Explore Topical Features in Charity Crowdfunding Campaigns

Asian Journal of Economics, Business and Accounting
Crowdfunding in the realm of the Social Web has received substantial attention, with prior research examining various aspects of campaigns, including project objectives, durations, and influential project categories for successful fundraising. These factors are crucial for entrepreneurs seeking donor support.
Muzumdar, Prathamesh, Kurian, George, Basyal, Ganga Prasad   +2 more
openaire   +4 more sources

Semantic N-Gram Topic Modeling [PDF]

EAI Endorsed Transactions on Scalable Information Systems, 2020
In this paper a novel approach for effective topic modeling is presented. The approach is different fromtraditional vector space model-based topic modeling, where the Bag of Words (BOW) approach is followed.The novelty of our approach is that in phrase ...
Pooja Kherwa, Poonam Bansal
doaj   +1 more source