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LDAShiny: Interactive Topic Modeling and Bibliometric Analysis via Shiny · Study

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DatasetLDAShiny: Interactive Topic Modeling and Bibliometric Analysis via Shiny

Javier de la Hoz-M2021

Dataset2021

LDAShiny: Interactive Topic Modeling and Bibliometric Analysis via Shiny

Javier de la Hoz-M

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Computational and Text Analysis Methods scientometrics and bibliometrics research Data Visualization and Analytics

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2019Analyzing scientific research topics in manufacturing field using a topic model

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2021International review of financial analysis: A retrospective evaluation between 1992 and 2020article · 1 shared reference 2023Topic research in fuzzy domain: Based on LDA topic modellingarticle · 1 shared reference 2022The paradigm shift of mass customisation researcharticle · 1 shared reference 2020Analysis of Technological Trends and Technological Portfolio of Unmanned Aerial Vehiclearticle · 1 shared reference 2022Capturing the Complexity of COVID-19 Research: Trend Analysis in the First Two Years of the Pandemic Using a Bayesian Probabilistic Model and Machine Learning Toolsarticle · 1 shared reference 2024Glioblastoma: a comprehensive approach combining bibliometric analysis, Latent Dirichlet Allocation, and HJ-Biplotarticle · 1 shared reference

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Year2021

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Published2021-02-05

Languageen

Citations1

Files0 public / 0

ShelfComputational and Text Analysis Methods

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doi10.32614/cran.package.ldashiny

openalex_workW4399523747

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