<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>andersonheri.r-universe.dev</title><link>https://andersonheri.r-universe.dev</link><description>Recent package updates in andersonheri</description><generator>R-universe</generator><image><url>https://github.com/andersonheri.png</url><title>R packages by andersonheri</title><link>https://andersonheri.r-universe.dev</link></image><lastBuildDate>Thu, 29 Oct 2026 02:54:56 GMT</lastBuildDate><item><title>[andersonheri] acR 0.6.1</title><author>anderson.henrique@usp.br (Anderson Henrique)</author><description>Provides an integrated pipeline for content analysis
combining qualitative coding assisted by large language models
(LLMs) with classical quantitative text analysis. Includes
modules for pre-processing (tokenization, stopwords for
Brazilian Portuguese), descriptive statistics, keyness,
co-occurrence networks, word clouds (including comparative and
X-ray variants), sentiment analysis via OpLexicon, Latent
Dirichlet Allocation (LDA), inter-coder reliability metrics
(Krippendorff, Gwet), and modern visualizations based on
ggplot2. Special focus on Brazilian corpora and
political-institutional codebooks. Inspired by Maerz and Benoit
(2025) &lt;https://quallmer.github.io/quallmer/&gt;.</description><link>https://github.com/r-universe/andersonheri/actions/runs/40859848273</link><pubDate>Thu, 29 Oct 2026 02:54:56 GMT</pubDate><r:package>acR</r:package><r:version>0.6.1</r:version><r:status>success</r:status><r:repository>https://andersonheri.r-universe.dev</r:repository><r:upstream>https://github.com/andersonheri/acr</r:upstream><r:article><r:source>cluster.Rmd</r:source><r:filename>cluster.html</r:filename><r:title>Agrupamento não supervisionado de documentos</r:title><r:created>2026-07-17 21:16:20</r:created><r:modified>2026-10-15 17:52:42</r:modified></r:article><r:article><r:source>qualitativo-llm.Rmd</r:source><r:filename>qualitativo-llm.html</r:filename><r:title>Análise de Conteúdo Qualitativa com LLMs</r:title><r:created>2026-04-17 21:00:18</r:created><r:modified>2026-10-15 17:52:42</r:modified></r:article><r:article><r:source>analise-proposicoes.Rmd</r:source><r:filename>analise-proposicoes.html</r:filename><r:title>Análise de proposições legislativas</r:title><r:created>2026-04-17 21:27:04</r:created><r:modified>2026-10-15 17:52:42</r:modified></r:article><r:article><r:source>sentimento.Rmd</r:source><r:filename>sentimento.html</r:filename><r:title>Análise de sentimento</r:title><r:created>2026-04-17 21:51:45</r:created><r:modified>2026-10-15 19:36:11</r:modified></r:article><r:article><r:source>quantitativo.Rmd</r:source><r:filename>quantitativo.html</r:filename><r:title>Análise quantitativa de texto</r:title><r:created>2026-04-17 21:51:45</r:created><r:modified>2026-10-15 17:52:42</r:modified></r:article><r:article><r:source>llm-local-em-escala.Rmd</r:source><r:filename>llm-local-em-escala.html</r:filename><r:title>Classificação com LLM Local em Escala</r:title><r:created>2026-10-14 16:50:48</r:created><r:modified>2026-10-15 17:03:31</r:modified></r:article><r:article><r:source>introducao-acR.Rmd</r:source><r:filename>introducao-acR.html</r:filename><r:title>Introdução ao acR: pipeline integrado de análise de conteúdo</r:title><r:created>2026-04-17 12:47:09</r:created><r:modified>2026-10-15 19:36:11</r:modified></r:article><r:article><r:source>lda.Rmd</r:source><r:filename>lda.html</r:filename><r:title>Modelagem de tópicos com LDA</r:title><r:created>2026-04-17 21:51:45</r:created><r:modified>2026-10-15 17:52:42</r:modified></r:article><r:article><r:source>quickstart.Rmd</r:source><r:filename>quickstart.html</r:filename><r:title>Quickstart: acR em 5 minutos</r:title><r:created>2026-07-16 20:13:45</r:created><r:modified>2026-10-15 19:36:11</r:modified></r:article><r:article><r:source>replicabilidade.Rmd</r:source><r:filename>replicabilidade.html</r:filename><r:title>Replicabilidade ponta-a-ponta: do codebook ao relatório de método</r:title><r:created>2026-07-17 00:39:28</r:created><r:modified>2026-10-15 17:52:42</r:modified></r:article></item></channel></rss>