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nlp-counter
Advanced tools
import Counter from 'counter';
let words = ['the', 'the', 'the', 'the'];
let counter = new Counter();
counter.incAll(words);
counter.inc('a', 1);
counter.inc('a', 1);
counter.inc('b', 1);
counter.inc('b', 1);
counter.normalize();
counter.maxCount();
counter.argMax();
$ npm install nlp-counter
let counter = new Counter();
let counter_another = new Counter();
let text = `I am firm, You are obstinate, He is a pig-headed fool. I am righteously indignant, you are annoyed, he is making a fuss over nothing. I have reconsidered the matter, you have changed your mind, he has gone back on his word.`
let tokenize = (txt) => txt.replace(/[,\.]+/g, '').split(' ')
let words = tokenize(text);
words.map(w => {
counter.inc(w);
});
counter.incAll(words);
counter_another.incAll(['the', 'the', 'the', 'the']);
counter.keys();
counter.values();
counter.size();
counter.normalize();
counter.maxCount();
counter.argMax();
counter.elementwiseMax(counter_another);
counter.subtract(counter_another);
inc(key: string, increment = 1)
incAll(keys: [string], increment = 1)
incBy(counter: Counter)
getCount(key: string): number
setCount(key: string, count: number)
removeKey(key: string): number
elementwiseMax(counter: Counter)
totalCount(): number
normalize()
scale(factor: number)
maxCount(): number
argMax(): string
subtract(other: Counter)
toString(): string
clear()
keys(): Iterator
values(): Iterator
size(): number
isEmpty(): boolean
contains(key: string): boolean
inc(key: string, value: string, increment = 1)
incAll(keys: [[string, string]], increment = 1)
getCount(key: string, value: string): number
setCount(key: string, value: string, count: number)
removeKey(key: string, value?: string): number
totalCount(): number
normalize(): number
scale(factor: number)
subtract(other: CounterMap)
toString(): string
keys(): string[]
keySize(): number
totalSize(): number
isEmpty(): boolean
contains(key: string, value?: string): boolean
FAQs
Counter
The npm package nlp-counter receives a total of 0 weekly downloads. As such, nlp-counter popularity was classified as not popular.
We found that nlp-counter 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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