text_intersect {textTinyR}R Documentation

intersection of words or letters in tokenized text

Description

intersection of words or letters in tokenized text

intersection of words or letters in tokenized text

Usage

# utl <- text_intersect$new(token_list1 = NULL, token_list2 = NULL)

Details

This class includes methods for text or character intersection. If both distinct and letters are FALSE then the simple (count or ratio) word intersection will be computed.

Value

a numeric vector

Methods

text_intersect$new(file_data = NULL)
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count_intersect(distinct = FALSE, letters = FALSE)
--------------
ratio_intersect(distinct = FALSE, letters = FALSE)

Methods

Public methods

Method new()

Usage
text_intersect$new(token_list1 = NULL, token_list2 = NULL)
Arguments
token_list1

a list, where each sublist is a tokenized text sequence (token_list1 should be of same length with token_list2)

token_list2

a list, where each sublist is a tokenized text sequence (token_list2 should be of same length with token_list1)

Method count_intersect()

Usage
text_intersect$count_intersect(distinct = FALSE, letters = FALSE)
Arguments
distinct

either TRUE or FALSE. If TRUE then the intersection of distinct words (or letters) will be taken into account

letters

either TRUE or FALSE. If TRUE then the intersection of letters in the text sequences will be computed

Method ratio_intersect()

Usage
text_intersect$ratio_intersect(distinct = FALSE, letters = FALSE)
Arguments
distinct

either TRUE or FALSE. If TRUE then the intersection of distinct words (or letters) will be taken into account

letters

either TRUE or FALSE. If TRUE then the intersection of letters in the text sequences will be computed

Method clone()

The objects of this class are cloneable with this method.

Usage
text_intersect$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

References

https://www.kaggle.com/c/home-depot-product-search-relevance/discussion/20427 by Igor Buinyi

Examples


library(textTinyR)

tok1 = list(c('compare', 'this', 'text'),

            c('and', 'this', 'text'))

tok2 = list(c('with', 'another', 'set'),

            c('of', 'text', 'documents'))


init = text_intersect$new(tok1, tok2)


init$count_intersect(distinct = TRUE, letters = FALSE)


init$ratio_intersect(distinct = FALSE, letters = TRUE)
[Package textTinyR version 1.1.8 Index]