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compromise-stats
Advanced tools
Changelog
10.1.0
.value()
methods.random()
method.lessThan()
, .greaterThan()
, .equalTo()
methods_ffix
syntaxtag()
supports a sequence of tags for a sequence of terms#Adverb{2,4}
.before()
and .after()
match methods.lexicon()
method for many-lexicons concept.replaceWith()
method to a 'keyTags' booleanReadme
tf-idf is a type of word-analysis that can discover the most-characteristic, or unique words in a text.
It combines uniqueness of words, and their frequency in the document.
This plugin comes pre-built with a standard english model, so you can fingerprint an arbitrary text with .tfidif()
alternatively, you can build your own model, from a compromise document:
let model=nlp(shakespeareWords)
let doc = nlp('thou art so sus.')
doc.tfidf()
// [ [ 'sus', 5.78 ], [ 'thou', 2.3 ], [ 'art', 1.75 ], [ 'so', 0.44 ] ]
if you want to combine tfidf with other analysis, you can add numbers to individual terms, like this:
let doc = nlp('no, my son is also named Bort')
doc.compute('tfidf')
let json = doc.json()
json[0].terms[6]
// {"text":"Bort", "tags":[], "tfidf":5.78, ... }
TF-IDF values are scaled, but have an unbounded maximum. The result for 'foo foo foo foo' would increase every with repitition.
all methods support the same option params:
let doc = nlp('one two three. one two foo.')
doc.ngrams({ size: 2 }) // only two-word grams
/*[
{ size: 2, count: 2, normal: 'one two' },
{ size: 2, count: 1, normal: 'two three' },
{ size: 2, count: 1, normal: 'two foo' }
]
*/
or all gram-sizes under/over a limit:
let doc = nlp('one two three. one two foo.')
let res = doc.ngrams({ min: 3 }) // or max:2
/*[
{ size: 3, count: 1, normal: 'one two three' },
{ size: 3, count: 1, normal: 'one two foo' }
]
*/
MIT
FAQs
plugin for nlp-compromise
The npm package compromise-stats receives a total of 848 weekly downloads. As such, compromise-stats popularity was classified as not popular.
We found that compromise-stats demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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