Results 21 to 30 of about 1,033,557 (227)

Teacher professional learning community and interdisciplinary collaborative teaching path under the informationization basic education model [PDF]

Yugoslav Journal of Operations Research
The construction of a learning community cannot be separated from the participation of information technology. The current teacher learning community has problems of low interaction efficiency and insufficient enthusiasm for group cooperative teaching ...
Li Gen, Jamil Hazri Bin
doaj   +1 more source

Inference in Supervised latent Dirichlet allocation [PDF]

2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
Supervised latent Dirichlet allocation (Supervised-LDA) [1] is a probabilistic topic model that can be used for classification. One of the advantages of Supervised-LDA over unsupervised LDA is that it can potentially learn topics that are inline with the class label.
Balaji Lakshminarayanan, Raviv Raich
openaire   +1 more source

Two-stage topic modelling of scientific publications: A case study of University of Nairobi, Kenya.

PLoS ONE, 2021
Unsupervised statistical analysis of unstructured data has gained wide acceptance especially in natural language processing and text mining domains. Topic modelling with Latent Dirichlet Allocation is one such statistical tool that has been successfully ...
Leacky Muchene, Wende Safari
doaj   +1 more source

Sequential latent Dirichlet allocation

Knowledge and Information Systems, 2011
Understanding how topics within a document evolve over the structure of the document is an interesting and potentially important problem in exploratory and predictive text analytics. In this article, we address this problem by presenting a novel variant of latent Dirichlet allocation (LDA): Sequential LDA (SeqLDA).
Lan Du 0002, Wray L. Buntine, Huidong Jin 0001, Changyou Chen   +3 more
openaire   +3 more sources

Crowd labeling latent Dirichlet allocation [PDF]

Knowledge and Information Systems, 2017
Large, unlabeled datasets are abundant nowadays, but getting labels for those datasets can be expensive and time-consuming. Crowd labeling is a crowdsourcing approach for gathering such labels from workers whose suggestions are not always accurate.
Luca Pion-Tonachini, Scott Makeig, Kenneth Kreutz-Delgado   +2 more
openaire   +2 more sources

Latent IBP Compound Dirichlet Allocation [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
We introduce the four-parameter IBP compound Dirichlet process (ICDP), a stochastic process that generates sparse non-negative vectors with potentially an unbounded number of entries. If we repeatedly sample from the ICDP we can generate sparse matrices with an infinite number of columns and power-law characteristics.
Cédric Archambeau, Balaji Lakshminarayanan, Guillaume Bouchard   +2 more
openaire   +2 more sources

Topic Modeling for Support Ticket using Latent Dirichlet Allocation

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022
In the business world, communication over customers must be built properly to make it easier for companies to find out what customers want. Support ticket is one of the business instrument for communication between the customers and the companies ...
Wiranto Wiranto, Mila Rosyida Uswatunnisa   +1 more
doaj   +1 more source

Latent Dirichlet Allocation Coupled with Bayesian Time Series Analyses

, 2019
Combines Latent Dirichlet Allocation and Bayesian Multinomial Time Series methods in a two-stage analysis to quantify dynamics in high-dimensional temporal ...
Juniper L. Simonis, David J. Harris (4594603), Renata Diaz (6911060), Erica M. Christensen, Ethan P. White, S. K. Morgan Ernest (2912999), Hao Ye, Erica M. Christensen (6273698), Hao Ye (519545), Ethan P. White (7158089), Juniper L. Simonis (6031091), David J. Harris, Renata Diaz, S. K. Morgan Ernest   +13 more
core   +4 more sources

ANOMALY DETECTION IN ONLINE SOCIAL MEDIA THROUGH ADVANCED AI TECHNIQUES AND TOPIC MODELING [PDF]

Proceedings on Engineering Sciences
The ubiquity of online social media platforms has led to an increasing need for effective anomaly detection methods to identify irregularities and potential threats within user-generated content.
Navdeep Bohra , Deepti Deshwal , Ashish Kumari , Amita Yadav , Anamika Rana   +4 more
doaj   +1 more source

A Zero-Inflated Latent Dirichlet Allocation Model for Microbiome Studies

Frontiers in Genetics, 2021
The human microbiome consists of a community of microbes in varying abundances and is shown to be associated with many diseases. An important first step in many microbiome studies is to identify possible distinct microbial communities in a given data set
Rebecca A. Deek, Hongzhe Li
doaj   +1 more source