bootstrap_lss: [experimental] Compute polarity scores with different...

In LSX: Semi-Supervised Algorithm for Document Scaling

[experimental] Compute polarity scores with different hyper-parameters

Description

A function to compute polarity scores of words by resampling hyper-parameters from a fitted LSS model.

Usage

bootstrap_lss(
  x,
  what = c("seeds", "k"),
  mode = c("terms", "coef"),
  from = 50,
  to = NULL,
  by = 50,
  verbose = FALSE,
  ...
)

Arguments

x	a fitted textmodel_lss object.
what	choose the hyper-parameter to resample in bootstrapping.
mode	choose the type of the result of bootstrapping. If coef, returns polarity scores; if terms, returns words sorted by the polarity scores in descending order.
from, to, by	passed to seq() to generate values for k; only used when what = "k".
verbose	show messages if TRUE.
...	additional arguments passed to as.textmodel_lss().

LSX documentation built on March 7, 2023, 6:46 p.m.