NEWS

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LDAShiny 1.0.0 (2026-06-08)

New features

• First release as an R package built with golem.
• Five-step pipeline: Import → Preprocess → Inference → Final Model → Trends.
• Multi-file upload: multiple Scopus CSVs and Web of Science TXTs can be merged in a single operation with DOI-based deduplication.
• Custom ggplot2 plots with full export control (PNG / TIFF / JPEG / PDF).
• Word cloud per topic with RColorBrewer palette support.
• Topic trend classification (HOT / COLD / EQUAL) via linear regression.

Breaking changes

None (first release).

Bug fixes

• options(shiny.maxRequestSize) is now set and restored within run_LDAShiny() only — not at package load time.
• Removed audio dependency (beepr) which is unsuitable for CRAN packages.
• Fixed get(input$theme_choice) calls replaced with safe named-list lookups using lda_themes().
• mod_inference_server is now properly exported.
• parallel::detectCores() is now declared in NAMESPACE via @importFrom.