freelance javascripter
{
let doc = nlp("Hey bart. Hi Bart. hello mrs Cumberdale.")
return doc.map(d=> d.text())
}
{
let doc = nlp("Hey bart. Hi Bart. hello mrs Cumberdale.")
return doc.terms().map(d=> d.text())
}
{
let doc = nlp('Larry, Curly, and Moe')
let people = doc.match('#Noun') // (any one noun)
//sort them alphabetically:
people.sort('alpha')
return people.map(d=> d.text('normal'))
}
{
let doc = nlp("we've also arrested your older, balder, fatter son.")
let adj = doc.match('#Adjective')
adj.sort() // default method: alphabetical
return adj.out('array')
}
{
// ADD CUSTOM SORT METHOD
let doc = nlp('Eeny, meeny, miny, moe')
//split up each term
let terms = doc.terms()
//use a custom sort method
terms.sort((a, b) => {
//sort by length of normalized text
if (a.text('reduced').length > b.text('reduced').length) {
return -1
}
return 1
})
let arr = terms.map(d => d.text('normal'))
return arr
}
{
let doc = nlp(`Springfield, springfield! it's a hell of a town.`)
let terms = doc.terms() //split by term
//remove duplicate matches
terms = terms.unique()
return terms.out('array')
}
{
let doc = nlp("that's it. Back to Winnipeg!")
// reverse the order of the sentences
doc = doc.reverse()
//clean-up the whitespace
doc.normalize({ whitespace: true })
return doc.map(d => d.text('normal'))
}
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