meeting_tm_report {vivainsights} | R Documentation |
Generate a Meeting Text Mining report in HTML
Description
Create a text mining report in HTML based on Meeting Subject Lines
Usage
meeting_tm_report(
data,
path = "meeting text mining report",
stopwords = NULL,
timestamp = TRUE,
keep = 100,
seed = 100
)
Arguments
data |
A Meeting Query dataset in the form of a data frame. |
path |
Pass the file path and the desired file name, excluding the file
extension. For example, |
stopwords |
A character vector OR a single-column data frame labelled
|
timestamp |
Logical vector specifying whether to include a timestamp in the file name. Defaults to TRUE. |
keep |
A numeric vector specifying maximum number of words to keep. |
seed |
A numeric vector to set seed for random generation. |
Details
Note that the column Subject
must be available within the input data frame
in order to run.d
Value
An HTML report with the same file name as specified in the arguments is generated in the working directory. No outputs are directly returned by the function.
How to run
meeting_tm_report(mt_data)
This will generate a HTML report as specified in path
.
See Also
Other Reports:
IV_report()
,
generate_report()
,
read_preamble()
,
validation_report()
Other Meetings:
meeting_dist()
,
meeting_fizz()
,
meeting_line()
,
meeting_rank()
,
meeting_summary()
,
meeting_trend()
Other Text-mining:
pairwise_count()
,
tm_clean()
,
tm_cooc()
,
tm_freq()
,
tm_wordcloud()