This functions creates a text mining report in HTML based on Meeting Subject Lines for data validation. It scans a meeting query and highlights meetings with subjects that include common exlusion terms. It is intended to be used by an analyst to validate raw data before conducting additional analysis. Returns a HTML report by default.
subject_validate_report(
data,
path = "Subject Lines Validation Report",
timestamp = TRUE,
keep = 100,
seed = 100
)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.
A Meeting Query dataset in the form of a data frame.
Pass the file path and the desired file name, excluding the file
extension. For example, "meeting text mining report".
Logical vector specifying whether to include a timestamp in
the file name. Defaults to TRUE.
A numeric vector specifying maximum number of words to keep.
A numeric vector to set seed for random generation.
Other Data Validation:
check_query(),
extract_hr(),
flag_ch_ratio(),
flag_em_ratio(),
flag_extreme(),
flag_outlooktime(),
hr_trend(),
hrvar_count(),
hrvar_count_all(),
hrvar_trend(),
identify_churn(),
identify_holidayweeks(),
identify_inactiveweeks(),
identify_nkw(),
identify_outlier(),
identify_privacythreshold(),
identify_query(),
identify_shifts(),
identify_shifts_wp(),
identify_tenure(),
remove_outliers(),
standardise_pq(),
subject_validate(),
track_HR_change(),
validation_report()
Other Text-mining:
meeting_tm_report(),
pairwise_count(),
subject_validate(),
tm_clean(),
tm_cooc(),
tm_freq(),
tm_wordcloud()
Other Reports:
IV_report(),
capacity_report(),
coaching_report(),
collaboration_report(),
connectivity_report(),
generate_report(),
meeting_tm_report(),
read_preamble(),
validation_report(),
workpatterns_report()