An Automated Cleaning Tool for Semantic and Linguistic Data
Bad Responses to NA
Makes Best Guess for Spelling Correction
Binary Responses to Character Responses
Converts textcleaner object to a SNAFU GUI format
Converts Words to their Plural Form
QWERTY Distance for Same Length Words
Read in Common Data File Extensions
Responses to binary matrix
SemNetCleaner--package
Converts Words to their Singular Form
Text Cleaner
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.
Useful links