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SemNetCleaner (version 1.1.5)

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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Install

install.packages('SemNetCleaner')

Monthly Downloads

495

Version

1.1.5

License

GPL (>= 3.0)

Issues

Pull Requests

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Maintainer

Alexander Christensen

Last Published

March 22nd, 2020

Functions in SemNetCleaner (1.1.5)

finalize

Finalize Response Matrix
is.letter

Checks If A Character Is A Letter
pluralize

Converts Words to their Plural Form
spell.check.dictionary

splitstr.check

Split String Check
open.animals

Openness and Verbal Fluency
moniker

Moniker Function
multi.word.check

Multi Word Checker Wrapper
bin2resp

Binary Responses to Character Responses
word.check.wrapper

A Spell-checking wrapper
starting.letter

Starting Letter
lead.word

Lead Word Example
full.match

Wrapper Match Function
textcleaner

Text Cleaner
read.data

Read in Common Data File Extensions
qwerty.dist

QWERTY Distance for Same Length Words
rm.lead.space

Removes Leading Spaces
singularize

Converts Words to their Singular Form
bad.response

Bad Responses to NA
correct.changes

best.guess

Makes Best Guess for Spelling Correction
SemNetCleaner-package

SemNetCleaner--package
destr

De-string Responses
combine.responses

Combine Words Wrapper
equate

Equate Groups
dup.match

Detect Duplicate Matches
converge

Converge Responses