cleanTextData: Clean and tokenize string data
In achalshah20/AchalNLP: Build Text Prediction Model
Description
Usage
Arguments
Details
Value
See Also
Description
This function applies different cleaning techniques to clean corpus data.
Usage
1
Arguments
data
Data read by readTextFile
Details
This function removes non english characters, numbers, white spaces, brackets, punctuation. It also handles cases like abbreviation, contraction. It converts entire text to lower case.
Value
a list having sampled text data
See Also
tm_map iconv content_transformer removeNumbers replace_contraction replace_abbreviation bracketX removePunctuation tolower stripWhitespace
achalshah20/AchalNLP documentation built on May 10, 2019, 5:10 a.m.
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Description Usage Arguments Details Value See Also
Description
This function applies different cleaning techniques to clean corpus data.
Usage
1 |
Arguments
data |
Data read by |
Details
This function removes non english characters, numbers, white spaces, brackets, punctuation. It also handles cases like abbreviation, contraction. It converts entire text to lower case.
Value
a list having sampled text data
See Also
tm_map iconv content_transformer removeNumbers replace_contraction replace_abbreviation bracketX removePunctuation tolower stripWhitespace
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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