Package: ConversationAlign 0.4.1

Jamie Reilly

ConversationAlign: Process Text and Compute Linguistic Alignment in Conversation Transcripts

Imports conversation transcripts into R, concatenates them into a single dataframe appending event identifiers, cleans and formats the text, then yokes user-specified psycholinguistic database values to each word. 'ConversationAlign' then computes alignment indices between two interlocutors across each transcript for >40 possible semantic, lexical, and affective dimensions. In addition to alignment, 'ConversationAlign' also produces a table of analytics (e.g., token count, type-token-ratio) in a summary table describing your particular text corpus.

Authors:Jamie Reilly [aut, cre], Virginia Ulichney [aut], Ben Sacks [aut], Sarah Weinstein [ctb], Chelsea Helion [ctb], Gus Cooney [ctb]

ConversationAlign_0.4.1.tar.gz
ConversationAlign_0.4.1.zip(r-4.7)ConversationAlign_0.4.1.zip(r-4.6)ConversationAlign_0.4.1.zip(r-4.5)
ConversationAlign_0.4.1.tgz(r-4.6-any)ConversationAlign_0.4.1.tgz(r-4.5-any)
ConversationAlign_0.4.1.tar.gz(r-4.7-any)ConversationAlign_0.4.1.tar.gz(r-4.6-any)
ConversationAlign_0.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
ConversationAlign/json (API)

# Install 'ConversationAlign' in R:
install.packages('ConversationAlign', repos = c('https://reilly-conceptscognitionlab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/reilly-conceptscognitionlab/conversationalign/issues

Datasets:
  • MaronGross_2013 - Sample Dyadic Interview Transcript: Marc Maron and Terry Gross Radio Interview 2013
  • NurseryRhymes - Text and talker information delineated, 3 separate nursery rhymes, good for computing analytics and word counts
  • NurseryRhymes_Prepped - Text and talker information delineated, 3 separate nursery rhymes, good for computing analytics and word counts

On CRAN:

Conda:

communicationconversationdyadic-datalanguagenatural-language-processingpsycholinguistics

7.27 score 17 stars 22 scripts 457 downloads 6 exports 85 dependencies

Last updated from:d46208bfa2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK205
source / vignettesOK247
linux-release-x86_64OK198
macos-release-arm64OK145
macos-oldrel-arm64OK107
windows-develOK137
windows-releaseOK110
windows-oldrelOK124
wasm-releaseOK155

Exports:corpus_analyticsgenerate_shamsprep_dyadsread_1fileread_dyadssummarize_dyads

Dependencies:askpassbitbit64bootcellrangerclassclicliprcpp11crayoncurldata.tableDescToolsdigestdplyrdtte1071englishExactexpmfastmatchforcatsfsgenericsgldgluehavenhmshttrhunspellISOcodesjsonlitekoRpuskoRpus.lang.enlatticelexiconlifecyclelmommagrittrMASSMatrixmgsubmimemvtnormNLPopensslpillarpkgconfigprettyunitsprogressproxypurrrqdapRegexquantedaR6RcppreadrreadxlrematchrlangrootSolverstudioapislamSnowballCstopwordsstringistringrsyllysylly.ensyssyuzhettextcleantextshapetextstemtibbletidyrtidyselecttzdbutf8vctrsvroomwithrxml2yamlzoo

ConversationAlign_Introduction
Caveats for Using ConversationAlign | Prepare your Transcripts Outside of the Package | Installation | Calibaration Transcripts Included in ConversationAlign | NurseryRhymes | Maron-Gross Interview | Caveat emptor | Background and Supporting Materials | References

Last update: 2026-04-29
Started: 2025-07-29

ConversationAlign_Step1_Read
Reading data into R for ConversationAlign | Prepping your data for import | read_dyads() | read_1file()

Last update: 2026-04-28
Started: 2025-07-29

ConversationAlign_Step2_Prep
Cleaning, Formatting, Aligning Norms to Your Data | Stopword removal | Lemmatization | Dimension Selection | prep_dyads() | Example of a prepped dataset

Last update: 2025-11-07
Started: 2025-07-29

ConversationAlign_Step3_Summarize
Generating sham conversations

Last update: 2025-11-07
Started: 2025-07-29

ConversationAlign_Step4_Analytics

Last update: 2025-07-29
Started: 2025-07-29