preprocess_data: Preprocess_data
In rosepeglershare/TagR: SHARE's TagR package that uses machine learning to identify a comment's relevant topics
Description
Usage
Arguments
Value
View source: R/preprocess_data.R
Description
Perform pre-processing tasks on the text data including removing punctuation and stopwords.
This function also produces a long styled data set in preparation for exploratory data analysis.
Usage
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preprocess_data(
labelled_raw,
unlabelled_raw,
topics,
text_vars)
Arguments
labelled_raw
A dataframe that details whether the comment belongs to a topic using a binary 0 or 1.
unlabelled_raw
An unlabelled dataframe that will be used for predictions.
topics
A list containing each topic.
text_vars
A list containing each text variable to be processed.
Value
A pre-processed labelled dataframe, unlabelled dataframe, and long labelled dataframe.
rosepeglershare/TagR documentation built on Dec. 31, 2020, 3:12 a.m.
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Description Usage Arguments Value
View source: R/preprocess_data.R
Description
Perform pre-processing tasks on the text data including removing punctuation and stopwords. This function also produces a long styled data set in preparation for exploratory data analysis.
Usage
1 2 3 4 5 | preprocess_data(
labelled_raw,
unlabelled_raw,
topics,
text_vars)
|
Arguments
labelled_raw |
A dataframe that details whether the comment belongs to a topic using a binary 0 or 1. |
unlabelled_raw |
An unlabelled dataframe that will be used for predictions. |
topics |
A list containing each topic. |
text_vars |
A list containing each text variable to be processed. |
Value
A pre-processed labelled dataframe, unlabelled dataframe, and long labelled dataframe.
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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