Results 41 to 50 of about 1,143,739 (216)
Deutsch-japanische Leitmotivstrukturen in digitalisierten Übersetzungskorpora
Textpraxis, 2017 Am Beispiel einer Probestudie zum Topic Modeling japanischer Thomas Mann-Übersetzungen reflektiert das Arbeitspapier Möglichkeiten und Herausforderungen einer digitalen Literaturforschung. Eine sich an Ramsays algorithmic criticism orientierende, de- und
Mueller, Nicole M.
doaj +1 more source
Topic Modeling: Perspectives From a Literature Review
IEEE Access, 2023 Topic modeling is a Natural Language Processing technique that has gained popularity over the last ten years, with applications in multiple fields of knowledge.
Andres M. Grisales A. +2 more
doaj +1 more source
Local and Global Topics in Text Modeling of Web Pages Nested in Web Sites [PDF]
arXiv, 2021 Topic models are popular models for analyzing a collection of text documents. The models assert that documents are distributions over latent topics and latent topics are distributions over words. A nested document collection is where documents are nested inside a higher order structure such as stories in a book, articles in a journal, or web pages in a
arxiv
Discriminative Relational Topic Models [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 Many scientific and engineering fields involve analyzing network data. For document networks, relational topic models (RTMs) provide a probabilistic generative process to describe both the link structure and document contents, and they have shown promise on predicting network structures and discovering latent topic representations.
Bo Zhang, Jun Zhu, Fei Xia, Ning Chen
openaire +4 more sources
, 2013 In this paper we present a modification to a latent topic model, which makes the model exploit supervision to produce a factorized representation of the observed data. The structured parameterization separately encodes variance that is shared between classes from variance that is private to each class by the introduction of a new prior over the topic ...
Zhang, Cheng +3 more
openaire +3 more sources
Exploring Gamification Research Trends Using Topic Modeling
IEEE Access, 2023 Gamification holds significant importance as an efficacious means to motivate individuals, stimulate their engagement, and foster desired behaviors. There is an increasing interest among researchers in exploring the domain of gamification.
Ahmet Ayaz +6 more
doaj +1 more source
A Formal Model for Topic Maps [PDF]
, 2002 Topic Maps have been developed in order to represent the structures of relationships between subjects, independently of resources documenting them, and to allow standard representation and interoperability of such structures. The ISO 13250 XTM specification have provided a robust syntactic XML representation allowing processing and interchange of topic
Auillans, Pascal +3 more
openaire +5 more sources
Topic Models with Topic Ordering Regularities for Topic Segmentation [PDF]
2014 IEEE International Conference on Data Mining, 2014 Documents from the same domain usually discuss similar topics in a similar order. In this paper we present new ordering-based topic models that use generalised Mallows models to capture this regularity to constrain topic assignments. Specifically, these new models assume that there is a canonical topic ordering shared amongst documents from the same ...
Lan Du, Mark Johnson, John K. Pate
openaire +2 more sources
The World of Topic Modeling in R
Medien & Kommunikationswissenschaft, 2022 This software review provides a systematic overview of R packages for topic modeling. These packages facilitate the application of computational text analysis to conduct research compatible with a wide variety of methodological frameworks employed in the
Gregor Wiedemann
doaj +1 more source
Visualizing Topic Uncertainty in Topic Modelling
, 2023 Word clouds became a standard tool for presenting results of natural language processing methods such as topic modelling. They exhibit most important words, where word size is often chosen proportional to the relevance of words within a topic. In the latent Dirichlet allocation (LDA) model, word clouds are graphical presentations of a vector of weights
openaire +3 more sources