Package: SemNetCleaner 2.0.0

SemNetCleaner: An Automated Cleaning Tool for Semantic and Linguistic Data

Implements several functions that automates the cleaning and spell-checking of text data. Also converges, finalizes, removes plurals and continuous strings, and puts text data in binary format for semantic network analysis. Uses the 'SemNetDictionaries' package to make the cleaning process more accurate, efficient, and reproducible.

Authors:Alexander P. Christensen [aut, cre]

SemNetCleaner_2.0.0.tar.gz
SemNetCleaner_2.0.0.zip(r-4.7-any)SemNetCleaner_2.0.0.zip(r-4.6-any)SemNetCleaner_2.0.0.zip(r-4.5-any)
SemNetCleaner_2.0.0.tgz(r-4.6-any)SemNetCleaner_2.0.0.tgz(r-4.5-any)
SemNetCleaner_2.0.0.tar.gz(r-4.7-any)SemNetCleaner_2.0.0.tar.gz(r-4.6-any)
SemNetCleaner_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SemNetCleaner/json (API)

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

Bug tracker:https://github.com/alexchristensen/semnetcleaner/issues

Datasets:

On CRAN:

Conda:

preprocessingsemantic-network-analysis

5.75 score 10 stars 56 scripts 468 downloads 27 exports 40 dependencies

Last updated from:60fe82de86. Checks:2 NOTE, 7 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE379
source / vignettesOK243
linux-releaseOK395
macos-releaseOK386
macos-oldrelOK355
windows-develNOTE360
windows-releaseOK351
windows-oldrelOK363
wasm-releaseOK109

Exports:advance_wizardautomated_edit_serverautomated_edit_uibad_responsebad.responsebest_guessbest.guessbin2respbinary_to_responsesbuild_answer_burstconvert2snafufinalize_textcleanermake_shiny_search_fnpluralizeprepare_automated_for_reviewqwerty_distanceqwerty.distread_dataread_uploaded_fileread.dataresp2binresponses_to_binarysingularizetextcleanertextcleaner_shinywizard_menu_labelswizard_response_letters

Dependencies:cellrangerclicodetoolscpp11crayondata.tabledigestforeignfuturefuture.applyglobalsgluehmshunspelllifecyclelistenvmagrittrparallellyphonicspillarpkgconfigprettyunitsprogressprogressrR.matlabR.methodsS3R.ooR.utilsR6RcppreadxlrematchrlangsearcherSemNetDictionariesstringdiststringitibbleutf8vctrs

Preprocessing Verbal Fluency Data
Vignette taken directly from @christensen2019semna | Spell-check | textcleaner Output | Verification of spell-check | correct.changes output | Summary | For next steps, see Network_Estimation vignette in the SemNetCleaner package | References
Rendered fromPreprocessing.Rmdusingknitr::rmarkdown

Last update: 2020-04-20
Started: 2019-10-28

Estimating Semantic Networks
Vignette taken directly from @christensen2019semna | Process | Preparation for network estimation | Network estimation | Summary | For next steps, see Analyzing_Networks vignette in the SemNeT package | References
Rendered fromEstimating.Rmdusingknitr::rmarkdown

Last update: 2019-11-07
Started: 2019-10-28

Readme and manuals

Help Manual

Help pageTopics
SemNetCleaner-packageSemNetCleaner-package SemNetCleaner
Advance the 'textcleaner_shiny()' Wizard by One Decisionadvance_wizard
Automated Spell-Check Review App Serverautomated_edit_server
Automated Spell-Check Review App UIautomated_edit_ui
Changes Bad Responses to 'NA'bad.response bad_response
Makes Best Guess for Spelling Correctionbest.guess best_guess
Binary Responses to Character Responsesbin2resp binary_to_responses
Build a Wizard Answer Burstbuild_answer_burst
Converts 'textcleaner' object to a SNAFU GUI formatconvert2snafu
Finalize a 'textcleaner()' Resultfinalize_textcleaner
Letter Frequencies Based on 40,000 Wordsletter.freq
Embedded-Search 'search_fn' Factory for 'textcleaner_shiny()'make_shiny_search_fn
Openness and Verbal Fluencyopen.animals
Cleaned Response Matrices (Openness and Verbal Fluency)open.clean
Preprocessed 'textcleaner' Object (Openness and Verbal Fluency)open.preprocess
Converts Words to their Plural Formpluralize
Prepare the Automated Corrections Matrix for Reviewprepare_automated_for_review
QWERTY Distance for Same Length Wordsqwerty.dist qwerty_distance
Read a File Uploaded Through Shinyread_uploaded_file
Read in Common Data File Extensionsread.data read_data
Converts a Response Matrix to a Binary Response Matrixresp2bin responses_to_binary
Converts Words to their Singular Formsingularize
Text Cleanertextcleaner
Point-and-Click 'textcleaner()' Wizardtextcleaner_shiny
Wizard Menu Labelswizard_menu_labels
Wizard Response Letterswizard_response_letters