subject_validate_report {wpa}

Generate Meeting Text Mining report in HTML for Common Exclusion Terms

Description

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.

Usage

subject_validate_report(
  data,
  path = "Subject Lines Validation Report",
  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".

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.

See Also

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()