npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

spacy-nlp

v1.0.11

Published

Expose Spacy nlp text parsing to Nodejs (and other languages) via socketIO

Downloads

391

Readme

spacy-nlp npm version CircleCI Code Climate Test Coverage

Expose Spacy nlp text parsing to Nodejs (and other languages) via socketIO

Installation

# install spacy in python3
python3 -m pip install -U socketIO-client
python3 -m pip install -U spacy==2.1.3
python3 -m spacy download en_core_web_md

# install this npm package
npm i --save spacy-nlp

Usage

const spacyNLP = require("spacy-nlp");
// default port 6466
// start the server with the python client that exposes spacyIO (or use an existing socketIO server at IOPORT)
var serverPromise = spacyNLP.server({ port: process.env.IOPORT });
// Loading spacy may take up to 15s

Note that python3 is preferred. If you use python2, at each run set the env var USE_PY2=true.

You'll see log like:

[Sun Oct 09 2016 16:53:33 GMT-0400 (EDT)] INFO Starting poly-socketio server on port: 6466, expecting 1 IO clients
[Sun Oct 09 2016 16:53:33 GMT-0400 (EDT)] INFO Starting socketIO client for python3 at 6466
[Sun Oct 09 2016 16:53:44 GMT-0400 (EDT)] DEBUG cgkb-py mXjDqupv852zUeMPAAAA joined, 0 remains
[Sun Oct 09 2016 16:53:44 GMT-0400 (EDT)] INFO All 1 IO clients have joined

Since it uses poly-socketio, there'll be one IO server, and one global.client(internal to this module) in the same process, no matter how many times poly-socketio is called. This resolves conflicts for cross-project usage.

E.g. AIVA uses poly-socketio to start a server for its internal cross-language communication, and uses spacy-nlp too. spacy-nlp will automatically use the IO server and the global.client from AIVA.

Methods

Syntax Parsing

Once it is ready, i.e. you can use the nodejs client nlp to parse texts:

const spacyNLP = require("spacy-nlp");
const nlp = spacyNLP.nlp;

// Note you can pass multiple sentences concat in one string.
nlp.parse("Bob Brought the pizza to Alice.").then(output => {
  console.log(output);
  console.log(JSON.stringify(output[0].parse_tree, null, 2));
});

// Store output into variable
const result = await nlp.parse("Bob Brought the pizza to Alice.");

And the output is the syntax parse tree with POS tagging. For the parse_tree, NE means Named Entity for NER; arc of an object is incident on it. An arc points from head word to modifier word. See the explanation on Tensorflow/syntaxnet.

[ { text: 'Bob Brought the pizza to Alice.',
    len: 7,
    tokens: [ 'Bob', 'Brought', 'the', 'pizza', 'to', 'Alice', '.' ],
    noun_phrases: [ 'Bob', 'the pizza', 'Alice' ],
    parse_tree:
     [ { word: 'Brought',
         lemma: 'bring',
         NE: '',
         POS_fine: 'VBD',
         POS_coarse: 'VERB',
         arc: 'ROOT',
         modifiers:
          [ { word: 'Bob',
              lemma: 'Bob',
              NE: 'PERSON',
              POS_fine: 'NNP',
              POS_coarse: 'PROPN',
              arc: 'nsubj',
              modifiers: [] },
            { word: 'pizza',
              lemma: 'pizza',
              NE: '',
              POS_fine: 'NN',
              POS_coarse: 'NOUN',
              arc: 'dobj',
              modifiers:
               [ { word: 'the',
                   lemma: 'the',
                   NE: '',
                   POS_fine: 'DT',
                   POS_coarse: 'DET',
                   arc: 'det',
                   modifiers: [] } ] },
            { word: 'to',
              lemma: 'to',
              NE: '',
              POS_fine: 'IN',
              POS_coarse: 'ADP',
              arc: 'prep',
              modifiers:
               [ { word: 'Alice',
                   lemma: 'Alice',
                   NE: 'PERSON',
                   POS_fine: 'NNP',
                   POS_coarse: 'PROPN',
                   arc: 'pobj',
                   modifiers: [] } ] },
            { word: '.',
              lemma: '.',
              NE: '',
              POS_fine: '.',
              POS_coarse: 'PUNCT',
              arc: 'punct',
              modifiers: [] } ] } ],
    parse_list:
     [ { word: 'Bob',
         lemma: 'Bob',
         NE: 'PERSON',
         POS_fine: 'NNP',
         POS_coarse: 'PROPN' },
       { word: 'Brought',
         lemma: 'bring',
         NE: '',
         POS_fine: 'VBD',
         POS_coarse: 'VERB' },
       { word: 'the',
         lemma: 'the',
         NE: '',
         POS_fine: 'DT',
         POS_coarse: 'DET' },
       { word: 'pizza',
         lemma: 'pizza',
         NE: '',
         POS_fine: 'NN',
         POS_coarse: 'NOUN' },
       { word: 'to',
         lemma: 'to',
         NE: '',
         POS_fine: 'IN',
         POS_coarse: 'ADP' },
       { word: 'Alice',
         lemma: 'Alice',
         NE: 'PERSON',
         POS_fine: 'NNP',
         POS_coarse: 'PROPN' },
       { word: '.',
         lemma: '.',
         NE: '',
         POS_fine: '.',
         POS_coarse: 'PUNCT' } ] } ]

Noun Parsing

// Available options are count (returns the total count) and text (returns the parsed strings) You can specify one or both.
const options = ["count"];

// Note you can pass multiple sentences concat in one string.
nlp
  .parse_nouns(
    "On 22 June 1941, the European Axis powers launched an invasion of the Soviet Union, opening the largest land theatre of war in history, which trapped the Axis, most crucially the German Wehrmacht, into a war of attrition. World War II (often abbreviated to WWII or WW2), also known as the Second World War, was a global war that lasted from 1939 to 1945.",
    options
  )
  .then(output => {
    console.log(output);
  });

// Store output into variable
const result = await nlp.parse_nouns(
  "On 22 June 1941, the European Axis powers launched an invasion of the Soviet Union, opening the largest land theatre of war in history, which trapped the Axis, most crucially the German Wehrmacht, into a war of attrition. World War II (often abbreviated to WWII or WW2), also known as the Second World War, was a global war that lasted from 1939 to 1945.",
  options
);

// 19

Verb Parsing

// Available options are count (returns the total count) and text (returns the parsed strings) You can specify one or both.
const options = ["count"];

// Note you can pass multiple sentences concat in one string.
nlp
  .parse_verbs(
    "On 22 June 1941, the European Axis powers launched an invasion of the Soviet Union, opening the largest land theatre of war in history, which trapped the Axis, most crucially the German Wehrmacht, into a war of attrition. World War II (often abbreviated to WWII or WW2), also known as the Second World War, was a global war that lasted from 1939 to 1945.",
    options
  )
  .then(output => {
    console.log(output);
  });

// Store output into variable
const result = await nlp.parse_verbs(
  "On 22 June 1941, the European Axis powers launched an invasion of the Soviet Union, opening the largest land theatre of war in history, which trapped the Axis, most crucially the German Wehrmacht, into a war of attrition. World War II (often abbreviated to WWII or WW2), also known as the Second World War, was a global war that lasted from 1939 to 1945.",
  options
);

// 7

Adjective Parsing

// Available options are count (returns the total count) and text (returns the parsed strings) You can specify one or both.
const options = ["count"];

// Note you can pass multiple sentences concat in one string.
nlp
  .parse_adj(
    "On 22 June 1941, the European Axis powers launched an invasion of the Soviet Union, opening the largest land theatre of war in history, which trapped the Axis, most crucially the German Wehrmacht, into a war of attrition. World War II (often abbreviated to WWII or WW2), also known as the Second World War, was a global war that lasted from 1939 to 1945.",
    options
  )
  .then(output => {
    console.log(output);
  });

// Store output into variable
const result = await nlp.parse_adj(
  "On 22 June 1941, the European Axis powers launched an invasion of the Soviet Union, opening the largest land theatre of war in history, which trapped the Axis, most crucially the German Wehrmacht, into a war of attrition. World War II (often abbreviated to WWII or WW2), also known as the Second World War, was a global war that lasted from 1939 to 1945.",
  options
);

// 8

Named Entity Parsing

// Available options are count (returns the total count) and text (returns the parsed strings) You can specify one or both.
const options = ["count"];

// Note you can pass multiple sentences concat in one string.
nlp
  .parse_named_entities(
    "On 22 June 1941, the European Axis powers launched an invasion of the Soviet Union, opening the largest land theatre of war in history, which trapped the Axis, most crucially the German Wehrmacht, into a war of attrition. World War II (often abbreviated to WWII or WW2), also known as the Second World War, was a global war that lasted from 1939 to 1945.",
    options
  )
  .then(output => {
    console.log(output);
  });

// Store output into variable
const result = await nlp.parse_named_entities(
  "On 22 June 1941, the European Axis powers launched an invasion of the Soviet Union, opening the largest land theatre of war in history, which trapped the Axis, most crucially the German Wehrmacht, into a war of attrition. World War II (often abbreviated to WWII or WW2), also known as the Second World War, was a global war that lasted from 1939 to 1945.",
  options
);

// 8

Date Parsing

// Available options are count (returns the total count) and text (returns the parsed strings) You can specify one or both.
const options = ["text"];

// Note you can pass multiple sentences concat in one string.
nlp
  .parse_date(
    "On 22 June 1941, the European Axis powers launched an invasion of the Soviet Union, opening the largest land theatre of war in history, which trapped the Axis, most crucially the German Wehrmacht, into a war of attrition. World War II (often abbreviated to WWII or WW2), also known as the Second World War, was a global war that lasted from 1939 to 1945.",
    options
  )
  .then(output => {
    console.log(output);
  });

// Store output into variable
const result = await nlp.parse_date(
  "On 22 June 1941, the European Axis powers launched an invasion of the Soviet Union, opening the largest land theatre of war in history, which trapped the Axis, most crucially the German Wehrmacht, into a war of attrition. World War II (often abbreviated to WWII or WW2), also known as the Second World War, was a global war that lasted from 1939 to 1945.",
  options
);

// ['22 June 1941', 'from 1939 to 1945']

Time Parsing

// Available options are count (returns the total count) and text (returns the parsed strings) You can specify one or both.
const options = ["count"];

// Note you can pass multiple sentences concat in one string.
nlp
  .parse_time(
    "On 22 June 1941, the European Axis powers launched an invasion of the Soviet Union, opening the largest land theatre of war in history, which trapped the Axis, most crucially the German Wehrmacht, into a war of attrition. World War II (often abbreviated to WWII or WW2), also known as the Second World War, was a global war that lasted from 1939 to 1945.",
    options
  )
  .then(output => {
    console.log(output);
  });

// Store output into variable
const result = await nlp.parse_time(
  "On 22 June 1941, the European Axis powers launched an invasion of the Soviet Union, opening the largest land theatre of war in history, which trapped the Axis, most crucially the German Wehrmacht, into a war of attrition. World War II (often abbreviated to WWII or WW2), also known as the Second World War, was a global war that lasted from 1939 to 1945.",
  options
);

// 0

Helpers

The following helper functions are not asynchronous and will not return a promise.

Splitting Large Text

If you have very large text to process, it's best to split the text as Spacy has a max_length limit of 1,000,000 characters.

const text =
  "On 22 June 1941, the European Axis powers launched an invasion of the Soviet Union, opening the largest land theatre of war in history, which trapped the Axis, most crucially the German Wehrmacht, into a war of attrition. World War II (often abbreviated to WWII or WW2), also known as the Second World War, was a global war that lasted from 1939 to 1945.";

const textArray = nlp.split_text(text);

// ["On 22 June 1941, the European Axis powers launched an invasion of the Soviet Union, opening the largest land theatre of", "war in history, which trapped the Axis, most crucially the German Wehrmacht, into a war of attrition. World War II (often", "abbreviated to WWII or WW2), also known as the Second World War, was a global war that lasted from 1939 to 1945."]

Duplicate Removal

If you want to return an array of words, the result will include duplicate strings. To remove duplicates you can use nlp.remove_duplicates.

const text =
  "On 22 June 1941, the European Axis powers launched an invasion of the Soviet Union, opening the largest land theatre of war in history, which trapped the Axis, most crucially the German Wehrmacht, into a war of attrition. World War II (often abbreviated to WWII or WW2), also known as the Second World War, was a global war that lasted from 1939 to 1945.";

const verbArray = await nlp.parse_verbs(text);
// ["war", "war", "war", "war", "war", "world", "world", "world", "axis", "axis", "ww2", "wwii", "land", "wehrmacht", "union", "powers", "attrition"]

const result = nlp.remove_duplicates(verbArray);

// ["war", "world", "axis", "ww2", "wwii", "land", "wehrmacht", "union", "powers", "attrition"]

Top n Words in a String

const text =
  "On 22 June 1941, the European Axis powers launched an invasion of the Soviet Union, opening the largest land theatre of war in history, which trapped the Axis, most crucially the German Wehrmacht, into a war of attrition. World War II (often abbreviated to WWII or WW2), also known as the Second World War, was a global war that lasted from 1939 to 1945.";

// Arguments are text and cutoff (Top n Words). Returns an array of objects.
const result = nlp.top_words(text, 5);

[
  { word: "the", count: 6 },
  { word: "of", count: 3 },
  { word: "war", count: 3 },
  { word: "Axis", count: 2 },
  { word: "a", count: 2 }
];