pickLabel: Pick the optimal label from candidate labels

In Luwei-Ying/validateIt: Validating Topic Coherence and Topic Labels

Description

Pick the optimal label from candidate labels

Usage

pickLabel(
  n,
  text.predict = NULL,
  text.name = "text",
  top1.name = "top1",
  labels.index = NULL,
  candidate.labels = NULL
)

Arguments

n	The number of desired tasks
text.predict	A data frame or matrix containing both the text and the indicator(s) of the model predicted topic(s).
text.name	variable name in 'text.predict' that indicates the text
top1.name	variable name in 'text.predict' that indicates the top1 model predicted topic
labels.index	The topic index in correspondence with the labels, e.g., c(10, 12, 15).
candidate.labels	A list of vectors containing the user-defined labels assigned to the topics, Must be in the same length and order with 'labels.index'.

Details

Users need to specify four plausible labels for each topic

Luwei-Ying/validateIt documentation built on May 12, 2021, 9:43 p.m.