clean_tweets: Cleans the text in the tweets and returns as new columns in...
In UBC-MDS/rtweetlytics: Analyzing the tweets for specific keyword
Description
Usage
Arguments
Value
Description
Cleans the text in the tweets and returns as new columns in the dataframe.
The cleaning process includes converting into lower case, removal of
punctuation, hastags and hastag counts
Usage
1
clean_tweets(file_path, tokenization = TRUE, word_count = TRUE)
Arguments
file_path
character
File path to csv file containing tweets data
tokenization
logical
Creates new column containing cleaned tweet word tokens when True
Default is True
word_count
logical
Creates new column containing word count of cleaned tweets
Default is True
Value
df_tweets
Dataframe
Dataframe containing data on cleaned tweets
.
UBC-MDS/rtweetlytics documentation built on Feb. 6, 2022, 12:33 a.m.
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Description Usage Arguments Value
Description
Cleans the text in the tweets and returns as new columns in the dataframe. The cleaning process includes converting into lower case, removal of punctuation, hastags and hastag counts
Usage
1 | clean_tweets(file_path, tokenization = TRUE, word_count = TRUE)
|
Arguments
file_path |
character File path to csv file containing tweets data |
tokenization |
logical Creates new column containing cleaned tweet word tokens when True Default is True |
word_count |
logical Creates new column containing word count of cleaned tweets Default is True |
Value
df_tweets Dataframe Dataframe containing data on cleaned tweets .
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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