Why direct LDA is not equivalent to LDA [PDF]
Pattern Recognition, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hui Gao, James W. Davis
exaly +2 more sources
Development of a Computer-Assisted Personal Interviewing (CAPI) Methodology to Assist the Photovoltaic Design Process [PDF]
E3S Web of Conferences, 2021 Computer-Assisted Personal Interviewing (CAPI) is a well-known methodology in the development of social surveys. In this work, CAPI is used to guide the flow of a questionnaire aiming for the acquisition of data and information fundamental to optimise a ...
Roberto Moraes Samuel +10 more
doaj +1 more source
Electronic and optical properties of core-shell InAlN nanorods: a comparative study via LDA, LDA-1/2, mBJ, HSE06, G0W0 and BSE methods. [PDF]
Physical Chemistry, Chemical Physics - PCCP, 2023 Currently, self-induced InAlN core-shell nanorods enjoy an advanced stage of accumulation of experimental data from their growth and characterization as well as a comprehensive understanding of their formation mechanism by the ab initio modeling based on
R. R. Pela +4 more
semanticscholar +1 more source
A Novel S-LDA Features for Automatic Emotion Recognition from Speech using 1-D CNN [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2022 Emotions are explicit and serious mental activities, which find expression in speech, body gestures and facial features, etc. Speech is a fast, effective and the most convenient mode of human communication.
Pradeep Tiwari, A. D. Darji
doaj +1 more source
A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts
Frontiers in Sociology, 2022 The richness of social media data has opened a new avenue for social science research to gain insights into human behaviors and experiences. In particular, emerging data-driven approaches relying on topic models provide entirely new perspectives on ...
R. Egger, Joanne Yu
semanticscholar +1 more source
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey [PDF]
Multimedia tools and applications, 2017 Topic modeling is one of the most powerful techniques in text mining for data mining, latent data discovery, and finding relationships among data and text documents.
Hamed Jelodar +3 more
semanticscholar +1 more source
Briefings Bioinform., 2023 Long noncoding RNAs (lncRNAs) participate in various biological processes and have close linkages with diseases. In vivo and in vitro experiments have validated many associations between lncRNAs and diseases.
Lihong Peng +5 more
semanticscholar +1 more source
Mapping groundwater availability and adequacy in the Lower Zambezi River basin [PDF]
Proceedings of the International Association of Hydrological Sciences, 2018 Groundwater plays an important role as a source of water for various socio-economic uses and environmental requirements in the lower Zambezi basin in Mozambique.
B. Pérez-Lapeña +3 more
doaj +1 more source
Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs
International Conference on Web and Social Media, 2021 In this work, we address the twin problems of unsupervised topic discovery and estimation of topic specific influence of blogs. We propose a new model that can be used to provide a user with highly influential blog postings on the topic of the user's ...
Ramesh Nallapati, William W. Cohen
semanticscholar +1 more source
Visual Depression Diagnosis From Face Based on Various Classification Algorithms [PDF]
Engineering and Technology Journal, 2020 Most psychologists believe that facial behavior through depression differs from facial behavior in the absence of depression, so facial behavior can be utilized as a dependable indicator for spotting depression.
Sana Nasser, Ivan Hashim, Wisam Ali
doaj +1 more source