Awesome

open-korean-text-node

A nodejs binding for open-korean-text via node-java interface.

Dependency

Currently wraps open-korean-text 2.2.0

현재 이 프로젝트는 open-korean-text 2.2.0을 사용중입니다.

Requirement

Since it uses java code compiled with Java 8, make sure you have both Java 8 JDK and JRE installed.
For more details about installing java interface, see installation notes on below links.

이 프로젝트는 Java 8로 컴파일된 코드를 사용하기 때문에, Java 8 JDK/JRE가 설치되어 있어야 합니다.
Java interface의 설치에 관련된 더 자세한 사항은 아래 링크에서 확인하세요.

• node-gyp#installation
• node-java#installation

Installation

npm install --save open-korean-text-node

Usage

import OpenKoreanText from 'open-korean-text-node';
// or
const OpenKoreanText = require('open-korean-text-node').default;

• See API section to get more informations.

Examples

• test/processor.spec.js
• test/tokens.spec.js

API

OpenKoreanText

Tokenizing

OpenKoreanText.tokenize(text: string): Promise<IntermediaryTokens>;
OpenKoreanText.tokenizeSync(text: string): IntermediaryTokens;

• text a target string to tokenize

Detokenizing

OpenKoreanText.detokenize(tokens: IntermediaryTokensObject): Promise<string>;
OpenKoreanText.detokenize(words: string[]): Promise<string>;
OpenKoreanText.detokenize(...words: string[]): Promise<string>;
OpenKoreanText.detokenizeSync(tokens: IntermediaryTokensObject): string;
OpenKoreanText.detokenizeSync(words: string[]): string;
OpenKoreanText.detokenizeSync(...words: string[]): string;

• tokens an intermediary token object from tokenize
• words an array of words to detokenize

Phrase Extracting

OpenKoreanText.extractPhrases(tokens: IntermediaryTokens, options?: ExcludePhrasesOptions): Promise<KoreanToken>;
OpenKoreanText.extractPhrasesSync(tokens: IntermediaryTokens, options?: ExcludePhrasesOptions): KoreanToken;

• tokens an intermediary token object from tokenize or stem
• options an object to pass options to extract phrases where
  • filterSpam - a flag to filter spam tokens. defaults to true
  • includeHashtag - a flag to include hashtag tokens. defaults to false

Normalizing

OpenKoreanText.normalize(text: string): Promise<string>;
OpenKoreanText.normalizeSync(text: string): string;

• text a target string to normalize

Sentence Splitting

OpenKoreanText.splitSentences(text: string): Promise<Sentence[]>;
OpenKoreanText.splitSentencesSync(text: string): Sentence[];

• text a target string to normalize

• returns array of Sentence which includes:
  • text: string - the sentence's text
  • start: number - the sentence's start position from original string
  • end: number - the sentence's end position from original string

Custom Dictionary

OpenKoreanText.addNounsToDictionary(...words: string[]): Promise<void>;
OpenKoreanText.addNounsToDictionarySync(...words: string[]): void;

• words words to add to dictionary

toJSON

OpenKoreanText.tokensToJsonArray(tokens: IntermediaryTokensObject, keepSpace?: boolean): Promise<KoreanToken[]>;
OpenKoreanText.tokensToJsonArraySync(tokens: IntermediaryTokensObject, keepSpace?: boolean): KoreanToken[];

• tokens an intermediary token object from tokenize or stem
• keepSpace a flag to omit 'Space' token or not, defaults to false

IntermediaryToken object

An intermediate token object required for internal processing.
Provides a convenience wrapper functionS to process text without using processor object

tokens.extractPhrases(options?: ExcludePhrasesOptions): Promise<KoreanToken>;
tokens.extractPhrasesSync(options?: ExcludePhrasesOptions): KoreanToken;
tokens.detokenize(): Promise<string>;
tokens.detokenizeSync(): string;
tokens.toJSON(): KoreanToken[];

• NOTE: tokens.toJSON() method is equivalent with OpenKoreanText.tokensToJsonArraySync(tokens, false)

KoreanToken object

A JSON output object which contains:

• text: string - token's text
• stem: string - token's stem
• pos: stirng - type of token. possible entries are:
  • Word level POS: Noun, Verb, Adjective, Adverb, Determiner, Exclamation, Josa, Eomi, PreEomi, Conjunction, NounPrefix, VerbPrefix, Suffix, Unknown
  • Chunk level POS: Korean, Foreign, Number, KoreanParticle, Alpha, Punctuation, Hashtag, ScreenName, Email, URL, CashTag
  • Functional POS: Space, Others
• offset: number - position from original string
• length: number - length of text
• isUnknown: boolean