HanLP Interface

Description Usage Format Details Usage Methods Author(s) Examples

a R6 class of word Vector Model.

1	hanlp.wordVectorModel

R6Class object.

A R6class of wordVectorModel .

For usage details see Methods, Arguments and Examples sections.

wordVectorModel = hanlp.wordVectorModel$new(model_path)
wordVectorModel$similarity(word1,word2)
wordVectorModel$nearest(word,size=10L)
wordVectorModel$analogy(word1,word2,word3)

$new(model_path): Constructor for Global vectors model
$similarity(word1,word2): Calculating the semantic distance of word1 and word2.
$nearest(word,size=10L): Find out the size(default 10) words most similar to a word.
$analogy(word1,word2,word3): Given three words:word1,word2,and word3, the words and their similarity list are returned to the semantic distance of (word1 - word2 + word3).

qxde01

## Not run: 
wordvector<-hanlp.wordVectorModel$new(model_path)
wordvector$similarity('hello','world')
wordvector$nearest("world",size=10L)
wordvector$analogy('R','Python','Java')

## End(Not run)