Implements the ThemeScope framework for detecting and visualising
social representations in large-scale digital text corpora. From raw
documents it builds, via 'udpipe' annotation, sentence-level word
co-occurrence networks and derives two community-level indicators grounded
in Social Representation Theory: the Prototypical Salience Index (PSI) for
anchoring and the Concreteness Score (CS) for objectification. Communities
are located in a two-dimensional, theoretically grounded representational
map. The whole pipeline is usable from the R console; an optional 'shiny'
graphical interface calls the same exported functions. The method is
described in Misuraca, Spano and D'Aniello (2026)
<doi:10.1177/01655515261454276>.
| Version: |
0.1.1 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
cli (≥ 3.6.0), dplyr (≥ 1.1.0), ggplot2 (≥ 3.4.0), ggrepel (≥ 0.9.0), igraph (≥ 2.1.0), Matrix (≥ 1.6.0), methods, readr, readxl, rlang, stats, tools, udpipe (≥ 0.8.11), utils |
| Suggests: |
bslib, DT, ggraph (≥ 2.1.0), htmltools, knitr, plotly, rmarkdown, shiny, shinycssloaders, testthat (≥ 3.0.0), visNetwork, writexl |
| Published: |
2026-08-20 |
| DOI: |
10.32614/CRAN.package.themescopeR |
| Author: |
Luca D'Aniello 
[aut, cre],
Michelangelo Misuraca
[aut],
Maria Spano [aut] |
| Maintainer: |
Luca D'Aniello <luca.daniello at unina.it> |
| BugReports: |
https://github.com/lucadaniello/themescopeR/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/lucadaniello/themescopeR |
| NeedsCompilation: |
no |
| Language: |
en-GB |
| Citation: |
themescopeR citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
themescopeR results |