“…Three different topic models—latent Dirichlet allocation (LDA) in GenSim, LDA in MALLET, and latent semantic analysis—were applied to the dataset with and without stemming using Python. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The geometric shapes of the over-pressure areas were described by means of the integral curves of the solutions to Dirichlet singular boundary differential equations. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We observe that the communities have declined over the past few years and identify factors that correlate to these changes. Using a Latent Dirichlet Allocation (LDA) model, we characterize the topics discussed in the communities. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We conducted topic modelling (n = 36,715 tweets) and longitudinal social network analysis (n = 17,834 tweets) of probiotic chatter on Twitter from 2009–17. We used Latent Dirichlet Allocation (LDA) to build the topic models and network analysis tool Gephi for building yearly graphs. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We consider the class of planar maps with Jacobian prescribed to be a fixed radially symmetric function f and which, moreover, fixes the boundary of a ball; we then study maps which minimise the 2p-Dirichlet energy in this class. We find a quantity [Formula: see text] which controls the symmetry, uniqueness and regularity of minimisers: if [Formula: see text] then minimisers are symmetric and unique; if [Formula: see text] is large but finite then there may be uncountably many minimisers, none of which is symmetric, although all of them have optimal regularity; if [Formula: see text] is infinite then generically minimisers have lower regularity. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…This paper proposes a window-constrained Latent Dirichlet Allocation (LDA) topic model that improves the accuracy of extracting network opinion feature words and ensures that network opinion feature words and opinion attitude words are synchronized by using the location information of opinion attitude words. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The part of the random walk is related to a combinatorial Dirichlet problem involving a weighted graph, where the nodes are the projected pixel of the original HSI, and the positive weights depend on the distances between these nodes. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…MATERIALS AND METHODS: The data used in our study are unformatted narrative maintenance logs recording linac conditions and repair actions. The latent Dirichlet allocation‐based topic modeling method was used to identify topics and keywords regarding the failure modes. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The daily number of COVID-19 cases was retrieved from the Ontario provincial government’s public health database. Latent Dirichlet Allocation was used for unsupervised topic modelling. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…This paper reports the result of manifold clusters based on 148 subjects with type 2 diabetes and shows the preliminary result of personalization for 22 subjects under different scenarios, and the preliminary results on applying Latent Dirichlet Allocation to the conversational dialog of ten subjects for discovering social needs in five areas: food security, health (insurance coverage), transportation, employment, and housing.…”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We introduce a new method based on Latent Dirichlet Allocation (LDA) for detecting genes that change as a result of interaction. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Natural Language Processing (NLP)-based topic modeling algorithms, namely Latent Dirichlet Allocation (LDA) and Non-negative Matrix Factorization (NMF), are used in this study to perform a qualitative content analysis to identify the latent themes. …”
Enlace del recurso
Enlace del recurso

“…In this paper, through the advanced Sequential Latent Dirichlet Allocation model, we identified twelve of the most popular topics present in a Twitter dataset collected over the period spanning April 3(rd) to April 13(th), 2020 in the United States and discussed their growth and changes over time. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We performed data preprocessing on tweets and Facebook posts and built the Latent Dirichlet Allocation (LDA) model to identify topics. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Secondly, a three-layer neural network model (NNM) is constructed by using the multilayer perceptron (MLP), combined with the latent Dirichlet allocation (LDA) algorithm. Furthermore, three semantic representation vector technologies, including word vector, paragraph vector, and full-text vector feature, are used to represent the full-text vocabulary of English composition. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Therefore, this paper publishes a dataset of real-life event, the Oscars 2018, gathered from Twitter and makes a comparison of soft frequent pattern mining (SFPM), singular value decomposition and k-means (K-SVD), feature-pivot (Feat-p), document-pivot (Doc-p), and latent Dirichlet allocation (LDA). The dataset contains 2,160,738 tweets collected using some seed words. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Therefore, in this study, we propose a computational model, called the k-Lognormal-Dirichlet-Multinomial (kLDM) model, which estimates multiple association networks that correspond to specific environmental conditions, and simultaneously infers microbe–microbe and EF–microbe associations for each network. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Based on the latent Dirichlet allocation (LDA) topic model, this study carries out a topic-clustering analysis of users’ online comments and builds an evaluation index system of mobile medical users’ satisfaction by using grounded theory. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We used the Jieba package in python to perform the data cleaning process and the Dirichlet allocation (LDA) topic modeling method to generate major themes of the health communication through news content. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…This paper uses the Latent Dirichlet Allocation (LDA) model to identify the key factors that are of major concern to consumers, including design factors, laptop setup factors, logistics factors, after-sales factors, and user experience factors. …”
Enlace del recurso
Enlace del recurso