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wink-nlp

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wink-nlp - npm Package Compare versions

Comparing version 0.0.1 to 0.0.2

.nyc_output/48d0a4ef-b50d-41b8-87bb-9d862294cf39.json

17

.jsdoc.json

@@ -10,13 +10,12 @@ {

"docdash": {
"meta": {
"title": "wink-nlp - Wink JS"
},
"menu":{
"Wink JS":{
"href":"http://winkjs.org",
"target":"_blank"
},
"Github":{
"href":"https://github.com/winkjs/wink-nlp",
"target":"_blank"
}
}
"Github": {
"href":"https://github.com/winkjs/wink-nlp",
"target":"_blank"
}
}
}
}
{
"name": "wink-nlp",
"version": "0.0.1",
"version": "0.0.2",
"description": "Natural Language Processing",
"keywords": [
"Natural Language Processing",
"NLP",
"tokenize",
"SBD",
"sentence boundary detection",
"negation handling",
"sentiment analysis",
"POS Tagging",
"NER",
"named entity extraction",
"word vectors",
"visualization",
"wink"

@@ -12,8 +21,8 @@ ],

"scripts": {
"pretest": "npm run lint && npm run docs",
"test": "istanbul cover _mocha ./test/",
"coveralls": "istanbul cover _mocha --report lcovonly -- -R spec && cat ./coverage/lcov.info | coveralls && rm -rf ./coverage",
"sourcedocs": "docker -i src -o ./sourcedocs --sidebar no",
"docs": "jsdoc src/*.js -c .jsdoc.json",
"lint": "eslint ./src/*.js ./test/*.js ./runkit/*.js"
"pretest": "npm run lint",
"test": "nyc --reporter=html --reporter=text mocha ./test/",
"coverage": "nyc report --reporter=text-lcov | coveralls",
"sourcedocs": "docker -i src -o ./sourcedocs --sidebar yes",
"lint": "eslint ./src/*.js ./test/*.js ./runkit/*.js",
"bench": "node benchmark/run.js"
},

@@ -31,14 +40,12 @@ "repository": {

"devDependencies": {
"benchmark": "^2.1.4",
"chai": "^4.2.0",
"coveralls": "^3.0.2",
"docdash": "^1.0.1",
"coveralls": "^3.1.0",
"docker": "^1.0.0",
"eslint": "^5.10.0",
"istanbul": "^0.4.5",
"jsdoc": "^3.5.5",
"mocha": "^5.2.0",
"mocha-lcov-reporter": "^1.3.0"
"eslint": "^7.0.0",
"nyc": "^15.0.1",
"jsdoc": "^3.6.4",
"mocha": "^7.1.2"
},
"runkitExampleFilename": "./runkit/example.js",
"dependencies": {}
}

@@ -5,25 +5,29 @@ # wink-nlp

### [![Stability](https://img.shields.io/badge/stability-1--experimental-orange.svg)](https://nodejs.org/api/documentation.html#documentation_stability_index)
### [![Stability](https://img.shields.io/badge/stability-1--experimental-orange.svg)](https://nodejs.org/api/documentation.html#documentation_stability_index) [![Build Status](https://api.travis-ci.org/winkjs/wink-nlp.svg?branch=master)](https://travis-ci.org/winkjs/wink-nlp) [![Coverage Status](https://coveralls.io/repos/github/winkjs/wink-nlp/badge.svg?branch=master)](https://coveralls.io/github/winkjs/wink-nlp?branch=master) [![Gitter](https://img.shields.io/gitter/room/nwjs/nw.js.svg)](https://gitter.im/winkjs/Lobby)
[<img align="right" src="https://decisively.github.io/wink-logos/logo-title.png" width="100px" >](http://winkjs.org/)
We have begun our modest attempt to deliver a mature NLP based on the state-of-the-art. Watch out `wink-nlp` unfold over next several weeks.
Wink NLP is an advance NLP package with zero external dependecies. It supports a variety of NLP tasks such as tokenization, sentence boundary detection, negation handling, sentiment analysis, part-of-speech tagging, named entity extraction and more with ease.
We deliver developer friendly API along with a balance of performance and accuracy to the entire spectrum of users. In addition, we are working towards building a number of pre-trained models for different languages and domains.
It packs a rich feature set into a small foot print codebase of under 100 kilobytes and model sizes starting under 1 megabyte:
1. Lossless tokenizer
2. Built-in API to aid text visualization
3. Pre-trained models with word vectors
4. Easy information exrtaction from raw text
5. Extensive text pre-processing features
6. Simple token to Unique Id mapping
### Installation
It will be as simple as:
Use npm install:
npm install wink-nlp --save
It will begin to take shape post version 0.0.1. Till then, consider using our [existing NLP packages](https://winkjs.org/packages) such as:
1. [Multilingual tokenizer](https://www.npmjs.com/package/wink-tokenizer) that tags each token with its type such as word, number, email, mention, etc.
2. English [Part-of-speech (POS) tagger](https://www.npmjs.com/package/wink-pos-tagger),
3. Language agnostic [named entity recognizer](https://www.npmjs.com/package/wink-ner),
4. Useful [functions for common NLP tasks](https://www.npmjs.com/package/wink-nlp-utils) and [many more](https://winkjs.org/packages).
You will also need the English lite model, to install that use:
npm install https://github.com/winkjs/wink-eng-lite-model/releases/download/0.0.0/wink-eng-lite-model-0.0.0.tgz --save
### Have a feature request?
Raise a new [issue](https://github.com/winkjs/wink-nlp/issues) with `feature` label or consider [contributing](https://github.com/winkjs/wink-nlp/blob/master/CONTRIBUTING.md).
### About wink

@@ -34,4 +38,4 @@ [Wink](http://winkjs.org/) is a family of open source packages for **Statistical Analysis**, **Natural Language Processing** and **Machine Learning** in NodeJS. The code is **thoroughly documented** for easy human comprehension and has a **test coverage of ~100%** for reliability to build production grade solutions.

**wink-nlp** is copyright 2017-18 [GRAYPE Systems Private Limited](http://graype.in/).
**wink-nlp** is copyright 2017-20 [GRAYPE Systems Private Limited](http://graype.in/).
It is licensed under the terms of the MIT License.

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