Analyzing Alzheimer’s Disease Research Trends: Insights From Improved Dynamic Topic Modeling
IEEE AccessThis study addresses the need for a comprehensive understanding of evolving research trends and challenges in Alzheimer’s disease research literature from 2016 to 2023. Employing an improved Dynamic Topic Model (DTM), we analyze the landscape from
Juan Shen, Vladimir Y. Mariano
doaj +1 more source
Imputation method for single-cell RNA-seq data using neural topic model. [PDF]
Gigascience, 2022 Qi Y, Han S, Tang L, Liu L.
europepmc +1 more source
Design and implementation of spam filtering system based on topic model
Dianxin kexue, 2017 Spam filtering technology plays a key role in many areas including information security,transmission efficiency,and automatic information classification.However,the emergence of spam affects the user's sense of experience,and can cause unnecessary ...
Xiaohuai KOU, Hua CHENG
doaj
Predicting the Mortality of ICU Patients by Topic Model with Machine-Learning Techniques. [PDF]
Healthcare (Basel), 2022 Chiu CC +4 more
europepmc +1 more source
Exploring changes in guest preferences for Airbnb accommodation with different levels of sharing and prices: Using structural topic model. [PDF]
Front Psychol, 2023 Ding K, Choo WC, Ng KY, Zhang Q.
europepmc +1 more source
Identifying Rare and Subtle Behaviors: A Weakly Supervised Joint Topic Model [PDF]
, 2011 Gong, SG +3 more
core +1 more source
Detecting latent topics and trends of digital twins in healthcare: A structural topic model-based systematic review. [PDF]
Digit Health, 2023 Sheng B +5 more
europepmc +1 more source
Research on the Application of Topic Models Based on Geological Disaster Information Mining
InformationGeological disasters, as a common occurrence, have a serious impact on social development in terms of their frequency of occurrence, disaster effects, and resulting losses.
Gang Cheng +6 more
doaj +1 more source
Online information analysis on pancreatic cancer in Korea using structural topic model. [PDF]
Sci Rep, 2022 Jo W, Kim Y, Seo M, Lee N, Park J.
europepmc +1 more source
topicmodels: An R Package for Fitting Topic Models
Journal of Statistical Software, 2011 Topic models allow the probabilistic modeling of term frequency occurrences in documents. The fitted model can be used to estimate the similarity between documents as well as between a set of specified keywords using an additional layer of latent ...
Bettina Grun, Kurt Hornik
doaj