clean_text: Add speaker categorical variable
In trendlock/mal: Tidytext analysis of Malcom Turnbull's public speeches
Description
Usage
Arguments
Value
Description
Mutates variable "speaker." to either "jorn" or "pm".
Also removes the sentences that are "JOURNALIST:" and "PRIME MINISTER:".
Removes numeric characters, stop words and white space from words...
Usage
1
2
3
add_speaker(df, keep = T)
clean_text(df)
Arguments
df
Takes df with sentence level text.
keep
Defaults to TRUE, if FALSE filters out "jorn"...
df
Takes df with
Value
Returns data frame
Returns data frame
trendlock/mal documentation built on May 14, 2019, 7:54 a.m.
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Description Usage Arguments Value
Description
Mutates variable "speaker." to either "jorn" or "pm".
Also removes the sentences that are "JOURNALIST:" and "PRIME MINISTER:".
Removes numeric characters, stop words and white space from words...
Usage
1 2 3 | add_speaker(df, keep = T)
clean_text(df)
|
Arguments
df |
Takes df with sentence level text. |
keep |
Defaults to TRUE, if FALSE filters out "jorn"... |
df |
Takes df with |
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.
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