LDAShiny
1.0.0Interactive Topic Modeling and Bibliometric Analysis via Shiny
Overview
Provides a 'Shiny' graphical interface for the complete workflow of Latent Dirichlet Allocation (LDA) topic modelling on bibliometric data from Scopus and Web of Science. Steps include data import and deduplication, text preprocessing (stopword removal, stemming, n-grams, sparse-term filtering), statistical inference to select the optimal number of topics via coherence, final model training, and topic trend analysis over time using linear regression. All results can be exported as Excel files, RDS objects, and publication-quality plots.
Install
Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-085 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 83%
- References docs
- 0%
Downloads
Repository
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Repository practices
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/javierdelahoz/ldashiny on 2026-08-02.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- 1.0.0Latest
- unarchivedReturned to CRAN2026-06-08
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-04-27requires archived package 'ldatuning'
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.9.32021-03-29 · diff ↗
- unarchivedReturned to CRAN2021-03-29
- archivedRemoved from CRAN2021-03-21check problems were not corrected in time
- 0.9.22021-02-05
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2026-06-08
- Total releases
- 3 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1.0
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet