clean_text: Clean words
In trendlock/speeches: Tidytext analysis of Malcom Turnbull's and Bill Shorten's speeches
Description
Usage
Arguments
Value
Description
Removes numeric characters, stop words and white space from words...
Mutates variable "speaker." to either "jorn" or "pm".
Also removes the sentences that are "JOURNALIST:" and "PRIME MINISTER:".
Usage
1
2
3
clean_text(df)
add_speaker(df, keep = T)
Arguments
df
Takes df with
keep
Defaults to TRUE, if FALSE filters out "jorn"...
df
Takes df with sentence level text.
Value
Returns data frame
Returns data frame
trendlock/speeches documentation built on May 8, 2019, 9:46 a.m.
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.
Description Usage Arguments Value
Description
Removes numeric characters, stop words and white space from words...
Mutates variable "speaker." to either "jorn" or "pm".
Also removes the sentences that are "JOURNALIST:" and "PRIME MINISTER:".
Usage
1 2 3 | clean_text(df)
add_speaker(df, keep = T)
|
Arguments
df |
Takes df with |
keep |
Defaults to TRUE, if FALSE filters out "jorn"... |
df |
Takes df with sentence level text. |
Value
Returns data frame
Returns data frame
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.