clean_text: Clean tweet text
In kateto/PolitwoopsR: Download Deleted Political Tweets From The Politwoops Project
Description
Usage
Arguments
Author(s)
See Also
Examples
Description
Prepares tweets for text analysis by removing usernames (@user), URLs (http://...),
new lines, breaks and special symbols. Expands contractions (e.g. "won't" to "will not",
"I've" to "I have", etc.).
Usage
1
clean_text(content)
Arguments
content
A vector of strings (for instance get_pw_tweets()$content)
Author(s)
Katya Ognyanova rstats@ognyanova.net
See Also
get_pw_tweets get_pw_pol
merge_pw
Examples
1
2
3
4
5
6
7
8
## Not run:
tweet.df <- get_pw_tweets(1, 5)
tweet.df$clean <- clean_text(tweet.df$content)
## End(Not run)
kateto/PolitwoopsR documentation built on May 20, 2019, 7:41 a.m.
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Description Usage Arguments Author(s) See Also Examples
Description
Prepares tweets for text analysis by removing usernames (@user), URLs (http://...), new lines, breaks and special symbols. Expands contractions (e.g. "won't" to "will not", "I've" to "I have", etc.).
Usage
1 | clean_text(content)
|
Arguments
content |
A vector of strings (for instance get_pw_tweets()$content) |
Author(s)
Katya Ognyanova rstats@ognyanova.net
See Also
get_pw_tweets get_pw_pol
merge_pw
Examples
1 2 3 4 5 6 7 8 | ## Not run:
tweet.df <- get_pw_tweets(1, 5)
tweet.df$clean <- clean_text(tweet.df$content)
## End(Not run)
|
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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