Public Repository

Last pushed: a month ago
Short Description
NLP server
Full Description

LanguageCrunch NLP Service docker image

Docker image
https://github.com/artpar/languagecrunch/

Sentiment

sentence: The new twitter is so weird. Seriously. Why is there a new twitter? What was wrong with the old one? Fix it now.

{
  "relations": [],
  "sentences": [
    {
      "sentence": "The new twitter is so weird. ",
      "sentence_type": "assertive",
      "sentiment": {
        "polarity": -0.18181818181818182,
        "subjectivity": 0.7272727272727273
      },
      "root": {
        "text": "is ",
        "orth": 2
      },
      "pos": [
        {
          "text": "The new twitter",
          "lemma": "the",
          "pos": "DET",
          "tag": "DT",
          "dep": "nsubj",
          .
          .
          .

Entity extraction

  • PERSON
  • NORP
  • FACILITY
  • ORG
  • GPE
  • LOC
  • PRODUCT
  • EVENT
  • WORK_OF_ART
  • LAW
  • LANGUAGE
  • DATE
  • TIME
  • PERCENT
  • MONEY
  • QUANTITY
  • ORDINAL
  • CARDINAL

Eg: Bill Gates, the founder of Microsoft, hosted a party last night

  "entities": [
    {
      "text": "Bill Gates",
      "label": "PERSON"
    },
    {
      "text": "Microsoft",
      "label": "ORG"
    },
    {
      "text": "last night",
      "label": "TIME"
    }
  ]
}

Sentence type detection

  • assertive
  • interrogative
  • exclamatory
  • negative

Relation extraction

Eg: Bill Gates, the founder of Microsoft, hosted a party last night

  "relations": [
    {
      "subject": "the founder",
      "object": "Microsoft",
      "relation": "ORG"
    }
  ],

Eg: Apple is looking at buying U.K. startup for $1 billion

 {
   subject: "N/A",
   object: "U.K. startup",
   relation: "GPE"
 },
 {
   subject: "buying",
   object: "$1 billion",
   relation: "MONEY"
 }
],

Word look up

  • Category of word
    • Hypernyms - colour is a hypernym of red.
  • Specific words of a category
    • Holonyms - red is a holonym of color
  • Synonyms to match
  • Examples
  • Word frames ( how the word is used )

  • Coreference resolution

  • Pronouns/references to nouns

Eg: startle, verb

  "results": [
    {
      "definition": "to stimulate to action",
      "examples": [
        "..startled him awake",
        "galvanized into action"
      ],
      "lemma_names": [
        "startle",
        "galvanize",
        "galvanise"
      ],
      "hypernyms": [
        {
          "definition": "surprise greatly; knock someone's socks off",
          "examples": [
            "I was floored when I heard that I was promoted"
          ],
          "lemma_names": [
            "shock",
            "floor",
            "ball_over",
            "blow_out_of_the_water",
            "take_aback"
          ]
        }
      ],
      "lemmas": [
        {
          "frame_strings": [
            "Somebody startle somebody",
            "Something startle somebody",
            "Somebody startle somebody into V-ing something"
          ],

Endpoints

Sentence parse [Spacy]

GET http://localhost:8080/nlp/parse?sentence=<Sentences>

Word lookup [Wordnet]

GET http://localhost:8080/nlp/word?word=ask&pos=v

Coreference resolution [neuralcoref]

GET http://localhost:8080/nlp/coref?sentence=<Sentences>

Docker Pull Command
Owner
artpar