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,
"meeting text mining report"
.- stopwords
A character vector OR a single-column data frame labelled
'word'
containing custom stopwords to remove.- 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.
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.
Details
Note that the column Subject
must be available within the input data frame
in order to run.d
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()