Bootstrap_Vocab: An internal function for Bootstrap_Data_Frame.

In Travis-Barton/LilRhino: For Implementation of Feed Reduction, Learning Examples, NLP and Code Management

An internal function for Bootstrap_Data_Frame.

Description

This function takes a selection of documents and bootstraps words from said sentences until there are N total sentences (both sudo and original).

Usage

Bootstrap_Vocab(vocab, N, stopwds, min_length = 7, max_length = 15)

Arguments

vocab	The collection of documents to boostrap.
N	The total amount of sentences to end up with
stopwds	A list of stopwords to not include in the bootstrapping proccess
min_length	The shortest allowable bootstrapped doument
max_length	The longest allowable bootstrapped document

Details

The min and max length arguements to not gaurantee that a sentence will reach that length. These senteces will be nonsensical.

Value

A vector of bootstrapped sentences.

Author(s)

Travis Barton

Examples

testing_set = c(paste('this is test',  as.character(seq(1, 10, 1))))

Bootstrap_Vocab(testing_set, 20, c('this'))

Travis-Barton/LilRhino documentation built on May 3, 2022, 3:36 a.m.