WordDict: Word dictionary

In LazerLambda/RolliNLP: Natural Language Processing and String Editing Utilities

Description

A datastructure to construct a dictionary for words as keys to numbers as values. This class also provides the method word2vec() to transform an already tokenized character vector into a word embeding. The default value for a missing value is 0 here. Specific editing can be done using the put() function.

Super class

RolliNLP::DictMap -> WordDict

Methods

Public methods

• WordDict$new()

• WordDict$get()

• WordDict$add()

• WordDict$word2vec()

• WordDict$clone()

Inherited methods

• RolliNLP::DictMap$items()

• RolliNLP::DictMap$put()

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Method new()

Usage

WordDict$new(lower = F)

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Method get()

Usage

WordDict$get(key)

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Method add()

Usage

WordDict$add(word)

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Method word2vec()

Usage

WordDict$word2vec(words)

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Method clone()

The objects of this class are cloneable with this method.

Usage

WordDict$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

wd <- WordDict$new(lower = TRUE)
wd$add("Hello")
wd$add("World")
wd$get("world") == 2
wd <- WordDict$new(lower = FALSE)
wd$add("Hello")
wd$add("World")
wd$get("world") == 0 # Missing word
wd$get("World") == 2
wd$word2vec(c("Hello", "World")) == c(1,2)
wd$word2vec(c("Hello", "world")) == c(1,0)

LazerLambda/RolliNLP documentation built on Oct. 17, 2020, 8:54 p.m.