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extract-lemmatized-nonstop-words

v1.0.19

Published

Extracts a pure list of lemmatized words of a text filtered by stop words

Downloads

264

Readme

Extract lemmatized nonstop words

Extracts a pure list of lemmatized words of a text filtered by stop words.

Features

  • Removing stopwords.
  • Removing proper noun.
  • Regular past tense verb and past participle verb to present form: created to create
  • Present form (3rd person) to present form: creates to create
  • Plural noun to singular: cats to cat
  • Gerund form verb to present form: creating to create

Install

install using Yarn:

yarn add extract-lemmatized-nonstop-words

install using NPM:

npm i --save extract-lemmatized-nonstop-words

Usage

const extract = require('extract-lemmatized-nonstop-words');

const words = extract('He created these categories and they are better.');

returns:

Array (3 items)
    0: Object
        lemma: "create"
        normal: "created"
        pos: "VBD"
        tag: "word"
        value: "created"
        vocabulary: "create"
    1: Object
        lemma: "category"
        normal: "categories"
        pos: "NNS"
        tag: "word"
        value: "categories"
        vocabulary: "category"
    2: Object
        lemma: "good"
        normal: "better"
        pos: "JJR"
        tag: "word"
        value: "better"
        vocabulary: "better"

API

extract(text, filter) ⇒ Array.<Object>

Extracts a pure list of lemmatized words of a text filtered by stop words. it will remove non-word tokens, ones which their length is less than 3 and contains non-alphabetic charachters.

| Param | Type | Description | | --- | --- | --- | | text | String | input text | | filter | Array.<String> | list of custom stopword which will replace with defaults, in case of passing false filtering results by stopwords will ignore. |

Annotation Specification

Annotation | Name | Example --- | --- | --- NN | Noun | dog man NNS | Plural noun | dogs men NNP | Proper noun | London Alex NNPS | Plural proper noun | Smiths VB | Base form verb | be VBP | Present form verb | throw VBZ | Present form (3rd person) | throws VBG | Gerund form verb | throwing VBD | Past tense verb | threw VBN | Past participle verb | thrown MD | Modal verb | can shall will may must ought JJ | Adjective | big fast JJR | Comparative adjective | bigger JJS | Superlative adjective | biggest RB | Adverb | not quickly closely RBR | Comparative adverb | less-closely faster RBS | Superlative adverb | fastest DT | Determiner | the a some both PDT | Predeterminer | all quite PRP | Personal Pronoun | I you he she PRP$ | Possessive Pronoun | I you he she POS | Possessive ending | 's IN | Preposition | of by in PR | Particle | up off TO | to | to WDT | Wh-determiner | which that whatever whichever WP | Wh-pronoun | who whoever whom what WP$ | Wh-possessive | whose WRB | Wh-adverb | how where EX | Expletive there | there CC | Coordinating conjugation | & and nor or CD | Cardinal Numbers | 1 7 77 one LS | List item marker | 1 B C One UH | Interjection | ah oh oops FW | Foreign Words | viva mon toujours , | Comma | , : |Mid-sent punct | : ; ... . | Sent-final punct. | . ! ? ( | Left parenthesis | ) } ] ) | Right parenthesis | ( { [ # | Pound sign | # $ | Currency symbols | $ £ ¥ SYM | Other symbols | + * / < > EM | Emojis & emoticons | :)