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SemNetCleaner (version 1.0.0)

An Automated Cleaning Tool for Semantic and Linguistic Data

Description

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.

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Version

Install

install.packages('SemNetCleaner')

Monthly Downloads

495

Version

1.0.0

License

GPL (>= 3.0)

Issues

Pull Requests

Stars

Forks

Maintainer

Alexander Christensen

Last Published

July 1st, 2019

Functions in SemNetCleaner (1.0.0)

equate.multi

Equate Multiple Groups
singularize

Converts Words to their Singular Form
finalize

Finalize Response Matrix
rmat

Cleaned trial data of verbal fluency responses
word.check.wrapper

A Spell-checking wrapper
equate

Equate Group Responses
spell.opt

All Possible Spelling Options
spell.check.dictionary

destr

De-string Responses
convmat

Converged trial data of verbal fluency responses
corr.chn

miss.let

Missing Letter
chn.let

Change Letter
multi.word.check

Multi Word Checker Wrapper
is.letter

Checks If A Character Is A Letter
rm.lead.space

Removes Leading Spaces
qwerty.dist

QWERTY Distance for Same Length Words
full.match

Wrapper Match Fucntion
misnomer

Misnomer Fucntion
splitstr.check

Split String Check
lead.word

Lead Word Example
open.animals

Openness and Verbal Fluency
pluralize

Converts Words to their Plural Form
textcleaner

Text Cleaner
starting.letter

Starting Letter
trial

Trial data of verbal fluency responses
bin2resp

Binary Responses to Character Responses
best.guess

Makes Best Guess for Spelling Correction
add.let

Add Letter
autoConverge

Automated Converge Responses
combine.responses

Combine Words Wrapper
bad.response

Bad Responses to NA
autoDestr

Automated De-string of Responses
SemNetCleaner-package

SemNetCleaner--package
converge

Converge Responses