Results 21 to 30 of about 3,238,976 (181)
, 2022 Given the growing recognition of the role of teachers as agents in 21st century learning environments, this proposed study builds on our work on ‘Teacher Design Knowledge’ (TDK) as critical capabilities for teachers in designing and implementing innovative curriculum, pedagogy, and technology through researcher-practitioner collaboration (SSHRC Insight
openaire +2 more sources
ISPRS International Journal of Geo-Information, 2021 Online public opinion reflects social conditions and public attitudes regarding special social events. Therefore, analyzing the temporal and spatial distributions of online public opinion topics can contribute to understanding issues of public concern ...
Qin Liang, Chunchun Hu, Si Chen
doaj +1 more source
Graph-Sparse LDA: A Topic Model with Structured Sparsity [PDF]
, 2014 Originally designed to model text, topic modeling has become a powerful tool for uncovering latent structure in domains including medicine, finance, and vision.
Adams, Ryan +2 more
core +1 more source
Improved Parsimonious Topic Modeling Based on the Bayesian Information Criterion
Entropy, 2020 In a previous work, a parsimonious topic model (PTM) was proposed for text corpora. In that work, unlike LDA, the modeling determined a subset of salient words for each topic, with topic-specific probabilities, with the rest of the words in the ...
Hang Wang, David Miller
doaj +1 more source
Frontiers in Psychology, 2022 PurposeThis study analyzes the topic and distribution features of public information needs for the COVID-19 vaccine from Chinese online Q&A communities and portals.
Lin Wang, Zuquan Xian, Tianyu Du
doaj +1 more source
A Nested Chinese Restaurant Topic Model for Short Texts with Document Embeddings
Applied Sciences, 2021 In recent years, short texts have become a kind of prevalent text on the internet. Due to the short length of each text, conventional topic models for short texts suffer from the sparsity of word co-occurrence information.
Yue Niu, Hongjie Zhang, Jing Li
doaj +1 more source
An Innovative Way to Model Twitter Topic-Driven Interactions Using Multiplex Networks [PDF]
, 2019 We propose a way to model topic-based implicit interactions among Twitter users. Our model relies on grouping Twitter hashtags, in a given context, into themes/topics and then using the multiplex network model to construct a thematic multiplex where each
Hanteer, Obaida, Rossi, Luca
core +1 more source
Study on the Technology Trend Screening Framework Using Unsupervised Learning
Applied Sciences, 2022 Outliers that deviate from a normal distribution are typically removed during the analysis process. However, the patterns of outliers are recognized as important information in the outlier detection method.
Junseok Lee, Sangsung Park, Juhyun Lee
doaj +1 more source
International Journal of Innovative Technology and Exploring Engineering, 2019 In the history of information and technology the knowledge which was generated is stored in the form of digital technology. In present day the search engines will search based on terms and extract the list of similar documents from many topics. In this paper, the proposed Topic Modelling techniques will search based on the group of words from each ...
Paul Thompson, Susan Hunston
openaire +2 more sources